Machine Learning under Resource Constraints : Discovery in Physics
Machine Learning under Resource Constraints addresses novel machine learning algorithms that are challenged by high-throughput data, by high dimensions, or by complex structures of the data in three volumes. Resource constraints are given by the relation between the demands for processing the data a...
Ausführliche Beschreibung
Autor*in: |
Morik, Katharina [herausgeberIn] Rhode, Wolfgang [herausgeberIn] |
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Format: |
E-Book |
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Sprache: |
Englisch |
Erschienen: |
Berlin Boston: De Gruyter ; 2022 ©2023 |
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Rechteinformationen: |
Open Access Namensnennung 4.0 International ; CC BY 4.0 |
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Systematik: |
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Umfang: |
1 Online-Ressource (XIV, 349 Seiten) |
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Weitere Ausgabe: |
Erscheint auch als Druck-Ausgabe: Machine learning under resource constraints ; Volume 2: Discovery in physics - Berlin : De Gruyter, 2023 |
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Reihe: |
Machine Learning under Resource Constraints ; Volume 2 De Gruyter STEM |
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Links: | |
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ISBN: |
978-3-11-078596-8 978-3-11-078613-2 |
DOI / URN: |
10.1515/9783110785968 |
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Katalog-ID: |
183166951X |
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245 | 1 | 0 | |a Machine Learning under Resource Constraints |b Discovery in Physics |c edited by Katharina Morik, Wolfgang Rhode |
264 | 1 | |a Berlin |a Boston |b De Gruyter |c 2022 | |
264 | 4 | |c ©2023 | |
300 | |a 1 Online-Ressource (XIV, 349 Seiten) | ||
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490 | 0 | |a Machine Learning under Resource Constraints |v Volume 2 | |
490 | 0 | |a De Gruyter STEM | |
505 | 8 | 0 | |t Frontmatter |
505 | 8 | 0 | |t Contents |
505 | 8 | 0 | |t 1 Introduction |
505 | 8 | 0 | |t 2 Challenges in Particle and Astroparticle Physics |
505 | 8 | 0 | |t 3 Key Concepts in Machine Learning and Data Analysis |
505 | 8 | 0 | |t 4 Data Acquisition and Data Structure |
505 | 8 | 0 | |t 5 Monte Carlo Simulations |
505 | 8 | 0 | |t 6 Data Storage and Access |
505 | 8 | 0 | |t 7 Monitoring and Feature Extraction |
505 | 8 | 0 | |t 8 Event Property Estimation and Signal Background Separation |
505 | 8 | 0 | |t 9 Deep Learning Applications |
505 | 8 | 0 | |t 10 Inverse Problems |
505 | 8 | 0 | |t Bibliography |
505 | 8 | 0 | |t Index |
505 | 8 | 0 | |t List of Contributors |
506 | 0 | |a Open Access |e Controlled Vocabulary for Access Rights |u https://purl.org/coar/access_right/c_abf2 |f unrestricted online access |2 star | |
520 | |a Machine Learning under Resource Constraints addresses novel machine learning algorithms that are challenged by high-throughput data, by high dimensions, or by complex structures of the data in three volumes. Resource constraints are given by the relation between the demands for processing the data and the capacity of the computing machinery. The resources are runtime, memory, communication, and energy. Hence, modern computer architectures play a significant role. Novel machine learning algorithms are optimized with regard to minimal resource consumption. Moreover, learned predictions are executed on diverse architectures to save resources. It provides a comprehensive overview of the novel approaches to machine learning research that consider resource constraints, as well as the application of the described methods in various domains of science and engineering. Volume 2 covers machine learning for knowledge discovery in particle and astroparticle physics. Their instruments, e.g., particle detectors or telescopes, gather petabytes of data. Here, machine learning is necessary not only to process the vast amounts of data and to detect the relevant examples efficiently, but also as part of the knowledge discovery process itself. The physical knowledge is encoded in simulations that are used to train the machine learning models. At the same time, the interpretation of the learned models serves to expand the physical knowledge. This results in a cycle of theory enhancement supported by machine learning | ||
530 | |a Issued also in print | ||
533 | |n Issued also in print | ||
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653 | |a ML on Small devices | ||
653 | |a Machine learning for knowledge discovery | ||
653 | |a Machine learning in high-energy physics | ||
653 | |a Resource-Aware Machine Learning | ||
653 | |a Resource-Constrained Data Analysis | ||
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book:9783110785968:2022---- |
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9783110785968 PDF 978-3-11-078596-8 9783110786132 EPUB 978-3-11-078613-2 10.1515/9783110785968 doi (DE-627)183166951X (DE-599)KEP083806881 (OCoLC)1433066939 (DE-B1597)617926 (EBP)083806881 DE-627 ger DE-627 rda eng XA-DE-BE XD-US SCI013000 bisacsh COM032000 bisacsh ST 300 DE-Ofb1/23 rvk (DE-625)rvk/143650: 54.72 bkl 54.80 bkl Machine Learning under Resource Constraints Discovery in Physics edited by Katharina Morik, Wolfgang Rhode Berlin Boston De Gruyter 2022 ©2023 1 Online-Ressource (XIV, 349 Seiten) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Machine Learning under Resource Constraints Volume 2 De Gruyter STEM Frontmatter Contents 1 Introduction 2 Challenges in Particle and Astroparticle Physics 3 Key Concepts in Machine Learning and Data Analysis 4 Data Acquisition and Data Structure 5 Monte Carlo Simulations 6 Data Storage and Access 7 Monitoring and Feature Extraction 8 Event Property Estimation and Signal Background Separation 9 Deep Learning Applications 10 Inverse Problems Bibliography Index List of Contributors Open Access Controlled Vocabulary for Access Rights https://purl.org/coar/access_right/c_abf2 unrestricted online access star Machine Learning under Resource Constraints addresses novel machine learning algorithms that are challenged by high-throughput data, by high dimensions, or by complex structures of the data in three volumes. Resource constraints are given by the relation between the demands for processing the data and the capacity of the computing machinery. The resources are runtime, memory, communication, and energy. Hence, modern computer architectures play a significant role. Novel machine learning algorithms are optimized with regard to minimal resource consumption. Moreover, learned predictions are executed on diverse architectures to save resources. It provides a comprehensive overview of the novel approaches to machine learning research that consider resource constraints, as well as the application of the described methods in various domains of science and engineering. Volume 2 covers machine learning for knowledge discovery in particle and astroparticle physics. Their instruments, e.g., particle detectors or telescopes, gather petabytes of data. Here, machine learning is necessary not only to process the vast amounts of data and to detect the relevant examples efficiently, but also as part of the knowledge discovery process itself. The physical knowledge is encoded in simulations that are used to train the machine learning models. At the same time, the interpretation of the learned models serves to expand the physical knowledge. This results in a cycle of theory enhancement supported by machine learning Issued also in print Issued also in print Namensnennung 4.0 International CC BY 4.0 cc https://creativecommons.org/licenses/by/4.0/ In English Computer aided manufacture (CAM) Computeranwendungen in Industrie und Technologie Data Mining Data mining Information technology: general issues Machine learning Maschinelles Lernen Praktische Anwendung für Informationstechnologien SCIENCE / Chemistry / General COMPUTERS / Information Technology Artificial Intelligence Big Data and Machine Learning Cyber-physical systems Data mining for Ubiquitous System Software Embedded Systems and Machine Learning Highly Distributed Data ML on Small devices Machine learning for knowledge discovery Machine learning in high-energy physics Resource-Aware Machine Learning Resource-Constrained Data Analysis s (DE-588)4033447-8 (DE-627)106257188 (DE-576)209002050 Künstliche Intelligenz gnd s (DE-588)4193754-5 (DE-627)105224782 (DE-576)21008944X Maschinelles Lernen gnd s (DE-588)4396978-1 (DE-627)191533580 (DE-576)212005545 Eingebettetes System gnd s (DE-588)4802620-7 (DE-627)472310364 (DE-576)216543657 Big Data gnd (DE-627) Morik, Katharina herausgeberin edt Rhode, Wolfgang herausgeberin edt 9783110785951 Erscheint auch als Druck-Ausgabe Machine learning under resource constraints ; Volume 2: Discovery in physics Berlin : De Gruyter, 2023 XIII, 349 Seiten (DE-627)1830031333 9783110785951 https://doi.org/10.1515/9783110785968 X:GRUY Resolving-System kostenfrei https://www.degruyter.com/isbn/9783110785968 X:GRUY Verlag kostenfrei https://www.degruyter.com/document/cover/isbn/9783110785968/original X:GRUY Verlag Cover ZDB-23-DGG GBV-deGruyter-alles ZDB-23-GOA ZDB-23-DEI 2022 ZDB-23-DGG 2022 GBV_ILN_11 ISIL_DE-1a SYSFLAG_1 GBV_KXP SSG-OLC-PHA GBV_ILN_22 ISIL_DE-18 GBV_ILN_23 ISIL_DE-830 GBV_ILN_24 ISIL_DE-8 GBV_ILN_30 ISIL_DE-104 GBV_ILN_31 ISIL_DE-27 GBV_ILN_34 ISIL_DE-18-302 GBV_ILN_39 ISIL_DE-547 GBV_ILN_40 ISIL_DE-7 GBV_ILN_50 ISIL_DE-23 GBV_ILN_60 ISIL_DE-705 GBV_ILN_62 ISIL_DE-28 GBV_ILN_63 ISIL_DE-Wim2 GBV_ILN_65 ISIL_DE-3 GBV_ILN_69 ISIL_DE-9 GBV_ILN_70 ISIL_DE-89 GBV_ILN_72 ISIL_DE-35 GBV_ILN_90 ISIL_DE-Hil2 GBV_ILN_91 ISIL_DE-HIL3 GBV_ILN_92 ISIL_DE-33 GBV_ILN_100 ISIL_DE-Ma9 GBV_ILN_101 ISIL_DE-Ma14 GBV_ILN_105 ISIL_DE-841 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_120 ISIL_DE-715 GBV_ILN_122 ISIL_DE-897 GBV_ILN_130 ISIL_DE-700 GBV_ILN_131 ISIL_DE-Va1 GBV_ILN_132 ISIL_DE-959 GBV_ILN_136 ISIL_DE-Wis1 GBV_ILN_140 ISIL_DE-839 GBV_ILN_147 ISIL_DE-Fl3 GBV_ILN_151 ISIL_DE-546 GBV_ILN_161 ISIL_DE-960 GBV_ILN_164 ISIL_DE-916 GBV_ILN_187 ISIL_DE-Ki95 GBV_ILN_206 ISIL_DE-Brg3 GBV_ILN_213 ISIL_DE-551 GBV_ILN_230 ISIL_DE-552 GBV_ILN_250 ISIL_DE-Ga20 GBV_ILN_264 ISIL_DE-897-1 GBV_ILN_285 ISIL_DE-517 GBV_ILN_293 ISIL_DE-960-3 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_496 ISIL_DE-Y9 GBV_ILN_603 ISIL_DE-B1556 GBV_ILN_635 ISIL_DE-B2138 GBV_ILN_2007 ISIL_DE-352E GBV_ILN_2009 ISIL_DE-180 GBV_ILN_2010 ISIL_DE-15 GBV_ILN_2011 ISIL_DE-16 GBV_ILN_2015 ISIL_DE-93 GBV_ILN_2021 ISIL_DE-289 GBV_ILN_2034 ISIL_DE-Rt2 GBV_ILN_2037 ISIL_DE-747 GBV_ILN_2039 ISIL_DE-He76 GBV_ILN_2044 ISIL_DE-751 GBV_ILN_2045 ISIL_DE-Mit1 GBV_ILN_2050 ISIL_DE-Zi4 GBV_ILN_2055 ISIL_DE-840 GBV_ILN_2059 ISIL_DE-Kon4 GBV_ILN_2063 ISIL_DE-951 GBV_ILN_2064 ISIL_DE-953 GBV_ILN_2065 ISIL_DE-958 GBV_ILN_2068 ISIL_DE-Fn1 GBV_ILN_2089 ISIL_DE-540 GBV_ILN_2111 ISIL_DE-944 GBV_ILN_2112 ISIL_DE-1033 GBV_ILN_2118 ISIL_DE-Mh35 GBV_ILN_2119 ISIL_DE-943 GBV_ILN_2129 ISIL_DE-Ofb1 GBV_ILN_2143 ISIL_DE-Rav1 GBV_ILN_2152 ISIL_DE-941 GBV_ILN_2153 ISIL_DE-Hed2 GBV_ILN_2159 ISIL_DE-984 GBV_ILN_2161 ISIL_DE-D117 GBV_ILN_2206 ISIL_DE-1141 GBV_ILN_2403 ISIL_DE-LFER ST 300 Allgemeines Informatik Monografien Künstliche Intelligenz Allgemeines (DE-627)1271119005 (DE-625)rvk/143650: (DE-576)201119005 54.72 Künstliche Intelligenz SEPA (DE-627)10641240X 54.80 Angewandte Informatik SEPA (DE-627)106417967 BO 045F 006.31 11 01 0001 4272616587 00 5:LIZFREI --%%-- --%%-- --%%-- k 15-02-23 22 01 0018 4272620444 OLR-ZDB-23-GOA De Gruyter Open Access zu 15-02-23 23 01 0830 4272624229 olr-degruyter-oa f z 15-02-23 24 01 0008 4272627872 olr-dgoafrei z 15-02-23 30 01 0104 4272629158 OLR-DGGOA DeGruyter Open Access Titel z 15-02-23 31 01 0027 4272632582 OLR-FREE z 15-02-23 34 01 3551 4272636375 OLR-DG-OA De Gruyter Open Access z 15-02-23 39 01 0547 4272637649 OLR-ZDB-23-GOA ke 15-02-23 40 01 0007 4272638912 OLR-deGruyter-OA xsn 15-02-23 50 01 0023 4272640127 EBOA21 Das Werk ist lizenzfrei im Web zugänglich k 15-02-23 60 01 0705 4272641891 00 --%%-- --%%-- s --%%-- Olr-dggoa verv shib z 15-02-23 62 01 0028 4272643525 OLR-DGGOA DeGruyter Open Access Titel z 15-02-23 63 01 3401 4272644734 E-Books LF z 15-02-23 65 01 0003 4272646036 03 --%%-- ebook --%%-- --%%-- OLR-GBV-deGruyter-OA DeGruyter Open Access Titel z 15-02-23 69 01 0009 4272649787 OLR-DGGOA De Gruyter Open Access Vervielfältigungen (z.B. 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9783110785968 PDF 978-3-11-078596-8 9783110786132 EPUB 978-3-11-078613-2 10.1515/9783110785968 doi (DE-627)183166951X (DE-599)KEP083806881 (OCoLC)1433066939 (DE-B1597)617926 (EBP)083806881 DE-627 ger DE-627 rda eng XA-DE-BE XD-US SCI013000 bisacsh COM032000 bisacsh ST 300 DE-Ofb1/23 rvk (DE-625)rvk/143650: 54.72 bkl 54.80 bkl Machine Learning under Resource Constraints Discovery in Physics edited by Katharina Morik, Wolfgang Rhode Berlin Boston De Gruyter 2022 ©2023 1 Online-Ressource (XIV, 349 Seiten) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Machine Learning under Resource Constraints Volume 2 De Gruyter STEM Frontmatter Contents 1 Introduction 2 Challenges in Particle and Astroparticle Physics 3 Key Concepts in Machine Learning and Data Analysis 4 Data Acquisition and Data Structure 5 Monte Carlo Simulations 6 Data Storage and Access 7 Monitoring and Feature Extraction 8 Event Property Estimation and Signal Background Separation 9 Deep Learning Applications 10 Inverse Problems Bibliography Index List of Contributors Open Access Controlled Vocabulary for Access Rights https://purl.org/coar/access_right/c_abf2 unrestricted online access star Machine Learning under Resource Constraints addresses novel machine learning algorithms that are challenged by high-throughput data, by high dimensions, or by complex structures of the data in three volumes. Resource constraints are given by the relation between the demands for processing the data and the capacity of the computing machinery. The resources are runtime, memory, communication, and energy. Hence, modern computer architectures play a significant role. Novel machine learning algorithms are optimized with regard to minimal resource consumption. Moreover, learned predictions are executed on diverse architectures to save resources. It provides a comprehensive overview of the novel approaches to machine learning research that consider resource constraints, as well as the application of the described methods in various domains of science and engineering. Volume 2 covers machine learning for knowledge discovery in particle and astroparticle physics. Their instruments, e.g., particle detectors or telescopes, gather petabytes of data. Here, machine learning is necessary not only to process the vast amounts of data and to detect the relevant examples efficiently, but also as part of the knowledge discovery process itself. The physical knowledge is encoded in simulations that are used to train the machine learning models. At the same time, the interpretation of the learned models serves to expand the physical knowledge. This results in a cycle of theory enhancement supported by machine learning Issued also in print Issued also in print Namensnennung 4.0 International CC BY 4.0 cc https://creativecommons.org/licenses/by/4.0/ In English Computer aided manufacture (CAM) Computeranwendungen in Industrie und Technologie Data Mining Data mining Information technology: general issues Machine learning Maschinelles Lernen Praktische Anwendung für Informationstechnologien SCIENCE / Chemistry / General COMPUTERS / Information Technology Artificial Intelligence Big Data and Machine Learning Cyber-physical systems Data mining for Ubiquitous System Software Embedded Systems and Machine Learning Highly Distributed Data ML on Small devices Machine learning for knowledge discovery Machine learning in high-energy physics Resource-Aware Machine Learning Resource-Constrained Data Analysis s (DE-588)4033447-8 (DE-627)106257188 (DE-576)209002050 Künstliche Intelligenz gnd s (DE-588)4193754-5 (DE-627)105224782 (DE-576)21008944X Maschinelles Lernen gnd s (DE-588)4396978-1 (DE-627)191533580 (DE-576)212005545 Eingebettetes System gnd s (DE-588)4802620-7 (DE-627)472310364 (DE-576)216543657 Big Data gnd (DE-627) Morik, Katharina herausgeberin edt Rhode, Wolfgang herausgeberin edt 9783110785951 Erscheint auch als Druck-Ausgabe Machine learning under resource constraints ; Volume 2: Discovery in physics Berlin : De Gruyter, 2023 XIII, 349 Seiten (DE-627)1830031333 9783110785951 https://doi.org/10.1515/9783110785968 X:GRUY Resolving-System kostenfrei https://www.degruyter.com/isbn/9783110785968 X:GRUY Verlag kostenfrei https://www.degruyter.com/document/cover/isbn/9783110785968/original X:GRUY Verlag Cover ZDB-23-DGG GBV-deGruyter-alles ZDB-23-GOA ZDB-23-DEI 2022 ZDB-23-DGG 2022 GBV_ILN_11 ISIL_DE-1a SYSFLAG_1 GBV_KXP SSG-OLC-PHA GBV_ILN_22 ISIL_DE-18 GBV_ILN_23 ISIL_DE-830 GBV_ILN_24 ISIL_DE-8 GBV_ILN_30 ISIL_DE-104 GBV_ILN_31 ISIL_DE-27 GBV_ILN_34 ISIL_DE-18-302 GBV_ILN_39 ISIL_DE-547 GBV_ILN_40 ISIL_DE-7 GBV_ILN_50 ISIL_DE-23 GBV_ILN_60 ISIL_DE-705 GBV_ILN_62 ISIL_DE-28 GBV_ILN_63 ISIL_DE-Wim2 GBV_ILN_65 ISIL_DE-3 GBV_ILN_69 ISIL_DE-9 GBV_ILN_70 ISIL_DE-89 GBV_ILN_72 ISIL_DE-35 GBV_ILN_90 ISIL_DE-Hil2 GBV_ILN_91 ISIL_DE-HIL3 GBV_ILN_92 ISIL_DE-33 GBV_ILN_100 ISIL_DE-Ma9 GBV_ILN_101 ISIL_DE-Ma14 GBV_ILN_105 ISIL_DE-841 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_120 ISIL_DE-715 GBV_ILN_122 ISIL_DE-897 GBV_ILN_130 ISIL_DE-700 GBV_ILN_131 ISIL_DE-Va1 GBV_ILN_132 ISIL_DE-959 GBV_ILN_136 ISIL_DE-Wis1 GBV_ILN_140 ISIL_DE-839 GBV_ILN_147 ISIL_DE-Fl3 GBV_ILN_151 ISIL_DE-546 GBV_ILN_161 ISIL_DE-960 GBV_ILN_164 ISIL_DE-916 GBV_ILN_187 ISIL_DE-Ki95 GBV_ILN_206 ISIL_DE-Brg3 GBV_ILN_213 ISIL_DE-551 GBV_ILN_230 ISIL_DE-552 GBV_ILN_250 ISIL_DE-Ga20 GBV_ILN_264 ISIL_DE-897-1 GBV_ILN_285 ISIL_DE-517 GBV_ILN_293 ISIL_DE-960-3 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_496 ISIL_DE-Y9 GBV_ILN_603 ISIL_DE-B1556 GBV_ILN_635 ISIL_DE-B2138 GBV_ILN_2007 ISIL_DE-352E GBV_ILN_2009 ISIL_DE-180 GBV_ILN_2010 ISIL_DE-15 GBV_ILN_2011 ISIL_DE-16 GBV_ILN_2015 ISIL_DE-93 GBV_ILN_2021 ISIL_DE-289 GBV_ILN_2034 ISIL_DE-Rt2 GBV_ILN_2037 ISIL_DE-747 GBV_ILN_2039 ISIL_DE-He76 GBV_ILN_2044 ISIL_DE-751 GBV_ILN_2045 ISIL_DE-Mit1 GBV_ILN_2050 ISIL_DE-Zi4 GBV_ILN_2055 ISIL_DE-840 GBV_ILN_2059 ISIL_DE-Kon4 GBV_ILN_2063 ISIL_DE-951 GBV_ILN_2064 ISIL_DE-953 GBV_ILN_2065 ISIL_DE-958 GBV_ILN_2068 ISIL_DE-Fn1 GBV_ILN_2089 ISIL_DE-540 GBV_ILN_2111 ISIL_DE-944 GBV_ILN_2112 ISIL_DE-1033 GBV_ILN_2118 ISIL_DE-Mh35 GBV_ILN_2119 ISIL_DE-943 GBV_ILN_2129 ISIL_DE-Ofb1 GBV_ILN_2143 ISIL_DE-Rav1 GBV_ILN_2152 ISIL_DE-941 GBV_ILN_2153 ISIL_DE-Hed2 GBV_ILN_2159 ISIL_DE-984 GBV_ILN_2161 ISIL_DE-D117 GBV_ILN_2206 ISIL_DE-1141 GBV_ILN_2403 ISIL_DE-LFER ST 300 Allgemeines Informatik Monografien Künstliche Intelligenz Allgemeines (DE-627)1271119005 (DE-625)rvk/143650: (DE-576)201119005 54.72 Künstliche Intelligenz SEPA (DE-627)10641240X 54.80 Angewandte Informatik SEPA (DE-627)106417967 BO 045F 006.31 11 01 0001 4272616587 00 5:LIZFREI --%%-- --%%-- --%%-- k 15-02-23 22 01 0018 4272620444 OLR-ZDB-23-GOA De Gruyter Open Access zu 15-02-23 23 01 0830 4272624229 olr-degruyter-oa f z 15-02-23 24 01 0008 4272627872 olr-dgoafrei z 15-02-23 30 01 0104 4272629158 OLR-DGGOA DeGruyter Open Access Titel z 15-02-23 31 01 0027 4272632582 OLR-FREE z 15-02-23 34 01 3551 4272636375 OLR-DG-OA De Gruyter Open Access z 15-02-23 39 01 0547 4272637649 OLR-ZDB-23-GOA ke 15-02-23 40 01 0007 4272638912 OLR-deGruyter-OA xsn 15-02-23 50 01 0023 4272640127 EBOA21 Das Werk ist lizenzfrei im Web zugänglich k 15-02-23 60 01 0705 4272641891 00 --%%-- --%%-- s --%%-- Olr-dggoa verv shib z 15-02-23 62 01 0028 4272643525 OLR-DGGOA DeGruyter Open Access Titel z 15-02-23 63 01 3401 4272644734 E-Books LF z 15-02-23 65 01 0003 4272646036 03 --%%-- ebook --%%-- --%%-- OLR-GBV-deGruyter-OA DeGruyter Open Access Titel z 15-02-23 69 01 0009 4272649787 OLR-DGGOA De Gruyter Open Access Vervielfältigungen (z.B. 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9783110785968 PDF 978-3-11-078596-8 9783110786132 EPUB 978-3-11-078613-2 10.1515/9783110785968 doi (DE-627)183166951X (DE-599)KEP083806881 (OCoLC)1433066939 (DE-B1597)617926 (EBP)083806881 DE-627 ger DE-627 rda eng XA-DE-BE XD-US SCI013000 bisacsh COM032000 bisacsh ST 300 DE-Ofb1/23 rvk (DE-625)rvk/143650: 54.72 bkl 54.80 bkl Machine Learning under Resource Constraints Discovery in Physics edited by Katharina Morik, Wolfgang Rhode Berlin Boston De Gruyter 2022 ©2023 1 Online-Ressource (XIV, 349 Seiten) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Machine Learning under Resource Constraints Volume 2 De Gruyter STEM Frontmatter Contents 1 Introduction 2 Challenges in Particle and Astroparticle Physics 3 Key Concepts in Machine Learning and Data Analysis 4 Data Acquisition and Data Structure 5 Monte Carlo Simulations 6 Data Storage and Access 7 Monitoring and Feature Extraction 8 Event Property Estimation and Signal Background Separation 9 Deep Learning Applications 10 Inverse Problems Bibliography Index List of Contributors Open Access Controlled Vocabulary for Access Rights https://purl.org/coar/access_right/c_abf2 unrestricted online access star Machine Learning under Resource Constraints addresses novel machine learning algorithms that are challenged by high-throughput data, by high dimensions, or by complex structures of the data in three volumes. Resource constraints are given by the relation between the demands for processing the data and the capacity of the computing machinery. The resources are runtime, memory, communication, and energy. Hence, modern computer architectures play a significant role. Novel machine learning algorithms are optimized with regard to minimal resource consumption. Moreover, learned predictions are executed on diverse architectures to save resources. It provides a comprehensive overview of the novel approaches to machine learning research that consider resource constraints, as well as the application of the described methods in various domains of science and engineering. Volume 2 covers machine learning for knowledge discovery in particle and astroparticle physics. Their instruments, e.g., particle detectors or telescopes, gather petabytes of data. Here, machine learning is necessary not only to process the vast amounts of data and to detect the relevant examples efficiently, but also as part of the knowledge discovery process itself. The physical knowledge is encoded in simulations that are used to train the machine learning models. At the same time, the interpretation of the learned models serves to expand the physical knowledge. This results in a cycle of theory enhancement supported by machine learning Issued also in print Issued also in print Namensnennung 4.0 International CC BY 4.0 cc https://creativecommons.org/licenses/by/4.0/ In English Computer aided manufacture (CAM) Computeranwendungen in Industrie und Technologie Data Mining Data mining Information technology: general issues Machine learning Maschinelles Lernen Praktische Anwendung für Informationstechnologien SCIENCE / Chemistry / General COMPUTERS / Information Technology Artificial Intelligence Big Data and Machine Learning Cyber-physical systems Data mining for Ubiquitous System Software Embedded Systems and Machine Learning Highly Distributed Data ML on Small devices Machine learning for knowledge discovery Machine learning in high-energy physics Resource-Aware Machine Learning Resource-Constrained Data Analysis s (DE-588)4033447-8 (DE-627)106257188 (DE-576)209002050 Künstliche Intelligenz gnd s (DE-588)4193754-5 (DE-627)105224782 (DE-576)21008944X Maschinelles Lernen gnd s (DE-588)4396978-1 (DE-627)191533580 (DE-576)212005545 Eingebettetes System gnd s (DE-588)4802620-7 (DE-627)472310364 (DE-576)216543657 Big Data gnd (DE-627) Morik, Katharina herausgeberin edt Rhode, Wolfgang herausgeberin edt 9783110785951 Erscheint auch als Druck-Ausgabe Machine learning under resource constraints ; Volume 2: Discovery in physics Berlin : De Gruyter, 2023 XIII, 349 Seiten (DE-627)1830031333 9783110785951 https://doi.org/10.1515/9783110785968 X:GRUY Resolving-System kostenfrei https://www.degruyter.com/isbn/9783110785968 X:GRUY Verlag kostenfrei https://www.degruyter.com/document/cover/isbn/9783110785968/original X:GRUY Verlag Cover ZDB-23-DGG GBV-deGruyter-alles ZDB-23-GOA ZDB-23-DEI 2022 ZDB-23-DGG 2022 GBV_ILN_11 ISIL_DE-1a SYSFLAG_1 GBV_KXP SSG-OLC-PHA GBV_ILN_22 ISIL_DE-18 GBV_ILN_23 ISIL_DE-830 GBV_ILN_24 ISIL_DE-8 GBV_ILN_30 ISIL_DE-104 GBV_ILN_31 ISIL_DE-27 GBV_ILN_34 ISIL_DE-18-302 GBV_ILN_39 ISIL_DE-547 GBV_ILN_40 ISIL_DE-7 GBV_ILN_50 ISIL_DE-23 GBV_ILN_60 ISIL_DE-705 GBV_ILN_62 ISIL_DE-28 GBV_ILN_63 ISIL_DE-Wim2 GBV_ILN_65 ISIL_DE-3 GBV_ILN_69 ISIL_DE-9 GBV_ILN_70 ISIL_DE-89 GBV_ILN_72 ISIL_DE-35 GBV_ILN_90 ISIL_DE-Hil2 GBV_ILN_91 ISIL_DE-HIL3 GBV_ILN_92 ISIL_DE-33 GBV_ILN_100 ISIL_DE-Ma9 GBV_ILN_101 ISIL_DE-Ma14 GBV_ILN_105 ISIL_DE-841 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_120 ISIL_DE-715 GBV_ILN_122 ISIL_DE-897 GBV_ILN_130 ISIL_DE-700 GBV_ILN_131 ISIL_DE-Va1 GBV_ILN_132 ISIL_DE-959 GBV_ILN_136 ISIL_DE-Wis1 GBV_ILN_140 ISIL_DE-839 GBV_ILN_147 ISIL_DE-Fl3 GBV_ILN_151 ISIL_DE-546 GBV_ILN_161 ISIL_DE-960 GBV_ILN_164 ISIL_DE-916 GBV_ILN_187 ISIL_DE-Ki95 GBV_ILN_206 ISIL_DE-Brg3 GBV_ILN_213 ISIL_DE-551 GBV_ILN_230 ISIL_DE-552 GBV_ILN_250 ISIL_DE-Ga20 GBV_ILN_264 ISIL_DE-897-1 GBV_ILN_285 ISIL_DE-517 GBV_ILN_293 ISIL_DE-960-3 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_496 ISIL_DE-Y9 GBV_ILN_603 ISIL_DE-B1556 GBV_ILN_635 ISIL_DE-B2138 GBV_ILN_2007 ISIL_DE-352E GBV_ILN_2009 ISIL_DE-180 GBV_ILN_2010 ISIL_DE-15 GBV_ILN_2011 ISIL_DE-16 GBV_ILN_2015 ISIL_DE-93 GBV_ILN_2021 ISIL_DE-289 GBV_ILN_2034 ISIL_DE-Rt2 GBV_ILN_2037 ISIL_DE-747 GBV_ILN_2039 ISIL_DE-He76 GBV_ILN_2044 ISIL_DE-751 GBV_ILN_2045 ISIL_DE-Mit1 GBV_ILN_2050 ISIL_DE-Zi4 GBV_ILN_2055 ISIL_DE-840 GBV_ILN_2059 ISIL_DE-Kon4 GBV_ILN_2063 ISIL_DE-951 GBV_ILN_2064 ISIL_DE-953 GBV_ILN_2065 ISIL_DE-958 GBV_ILN_2068 ISIL_DE-Fn1 GBV_ILN_2089 ISIL_DE-540 GBV_ILN_2111 ISIL_DE-944 GBV_ILN_2112 ISIL_DE-1033 GBV_ILN_2118 ISIL_DE-Mh35 GBV_ILN_2119 ISIL_DE-943 GBV_ILN_2129 ISIL_DE-Ofb1 GBV_ILN_2143 ISIL_DE-Rav1 GBV_ILN_2152 ISIL_DE-941 GBV_ILN_2153 ISIL_DE-Hed2 GBV_ILN_2159 ISIL_DE-984 GBV_ILN_2161 ISIL_DE-D117 GBV_ILN_2206 ISIL_DE-1141 GBV_ILN_2403 ISIL_DE-LFER ST 300 Allgemeines Informatik Monografien Künstliche Intelligenz Allgemeines (DE-627)1271119005 (DE-625)rvk/143650: (DE-576)201119005 54.72 Künstliche Intelligenz SEPA (DE-627)10641240X 54.80 Angewandte Informatik SEPA (DE-627)106417967 BO 045F 006.31 11 01 0001 4272616587 00 5:LIZFREI --%%-- --%%-- --%%-- k 15-02-23 22 01 0018 4272620444 OLR-ZDB-23-GOA De Gruyter Open Access zu 15-02-23 23 01 0830 4272624229 olr-degruyter-oa f z 15-02-23 24 01 0008 4272627872 olr-dgoafrei z 15-02-23 30 01 0104 4272629158 OLR-DGGOA DeGruyter Open Access Titel z 15-02-23 31 01 0027 4272632582 OLR-FREE z 15-02-23 34 01 3551 4272636375 OLR-DG-OA De Gruyter Open Access z 15-02-23 39 01 0547 4272637649 OLR-ZDB-23-GOA ke 15-02-23 40 01 0007 4272638912 OLR-deGruyter-OA xsn 15-02-23 50 01 0023 4272640127 EBOA21 Das Werk ist lizenzfrei im Web zugänglich k 15-02-23 60 01 0705 4272641891 00 --%%-- --%%-- s --%%-- Olr-dggoa verv shib z 15-02-23 62 01 0028 4272643525 OLR-DGGOA DeGruyter Open Access Titel z 15-02-23 63 01 3401 4272644734 E-Books LF z 15-02-23 65 01 0003 4272646036 03 --%%-- ebook --%%-- --%%-- OLR-GBV-deGruyter-OA DeGruyter Open Access Titel z 15-02-23 69 01 0009 4272649787 OLR-DGGOA De Gruyter Open Access Vervielfältigungen (z.B. 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9783110785968 PDF 978-3-11-078596-8 9783110786132 EPUB 978-3-11-078613-2 10.1515/9783110785968 doi (DE-627)183166951X (DE-599)KEP083806881 (OCoLC)1433066939 (DE-B1597)617926 (EBP)083806881 DE-627 ger DE-627 rda eng XA-DE-BE XD-US SCI013000 bisacsh COM032000 bisacsh ST 300 DE-Ofb1/23 rvk (DE-625)rvk/143650: 54.72 bkl 54.80 bkl Machine Learning under Resource Constraints Discovery in Physics edited by Katharina Morik, Wolfgang Rhode Berlin Boston De Gruyter 2022 ©2023 1 Online-Ressource (XIV, 349 Seiten) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Machine Learning under Resource Constraints Volume 2 De Gruyter STEM Frontmatter Contents 1 Introduction 2 Challenges in Particle and Astroparticle Physics 3 Key Concepts in Machine Learning and Data Analysis 4 Data Acquisition and Data Structure 5 Monte Carlo Simulations 6 Data Storage and Access 7 Monitoring and Feature Extraction 8 Event Property Estimation and Signal Background Separation 9 Deep Learning Applications 10 Inverse Problems Bibliography Index List of Contributors Open Access Controlled Vocabulary for Access Rights https://purl.org/coar/access_right/c_abf2 unrestricted online access star Machine Learning under Resource Constraints addresses novel machine learning algorithms that are challenged by high-throughput data, by high dimensions, or by complex structures of the data in three volumes. Resource constraints are given by the relation between the demands for processing the data and the capacity of the computing machinery. The resources are runtime, memory, communication, and energy. Hence, modern computer architectures play a significant role. Novel machine learning algorithms are optimized with regard to minimal resource consumption. Moreover, learned predictions are executed on diverse architectures to save resources. It provides a comprehensive overview of the novel approaches to machine learning research that consider resource constraints, as well as the application of the described methods in various domains of science and engineering. Volume 2 covers machine learning for knowledge discovery in particle and astroparticle physics. Their instruments, e.g., particle detectors or telescopes, gather petabytes of data. Here, machine learning is necessary not only to process the vast amounts of data and to detect the relevant examples efficiently, but also as part of the knowledge discovery process itself. The physical knowledge is encoded in simulations that are used to train the machine learning models. At the same time, the interpretation of the learned models serves to expand the physical knowledge. This results in a cycle of theory enhancement supported by machine learning Issued also in print Issued also in print Namensnennung 4.0 International CC BY 4.0 cc https://creativecommons.org/licenses/by/4.0/ In English Computer aided manufacture (CAM) Computeranwendungen in Industrie und Technologie Data Mining Data mining Information technology: general issues Machine learning Maschinelles Lernen Praktische Anwendung für Informationstechnologien SCIENCE / Chemistry / General COMPUTERS / Information Technology Artificial Intelligence Big Data and Machine Learning Cyber-physical systems Data mining for Ubiquitous System Software Embedded Systems and Machine Learning Highly Distributed Data ML on Small devices Machine learning for knowledge discovery Machine learning in high-energy physics Resource-Aware Machine Learning Resource-Constrained Data Analysis s (DE-588)4033447-8 (DE-627)106257188 (DE-576)209002050 Künstliche Intelligenz gnd s (DE-588)4193754-5 (DE-627)105224782 (DE-576)21008944X Maschinelles Lernen gnd s (DE-588)4396978-1 (DE-627)191533580 (DE-576)212005545 Eingebettetes System gnd s (DE-588)4802620-7 (DE-627)472310364 (DE-576)216543657 Big Data gnd (DE-627) Morik, Katharina herausgeberin edt Rhode, Wolfgang herausgeberin edt 9783110785951 Erscheint auch als Druck-Ausgabe Machine learning under resource constraints ; Volume 2: Discovery in physics Berlin : De Gruyter, 2023 XIII, 349 Seiten (DE-627)1830031333 9783110785951 https://doi.org/10.1515/9783110785968 X:GRUY Resolving-System kostenfrei https://www.degruyter.com/isbn/9783110785968 X:GRUY Verlag kostenfrei https://www.degruyter.com/document/cover/isbn/9783110785968/original X:GRUY Verlag Cover ZDB-23-DGG GBV-deGruyter-alles ZDB-23-GOA ZDB-23-DEI 2022 ZDB-23-DGG 2022 GBV_ILN_11 ISIL_DE-1a SYSFLAG_1 GBV_KXP SSG-OLC-PHA GBV_ILN_22 ISIL_DE-18 GBV_ILN_23 ISIL_DE-830 GBV_ILN_24 ISIL_DE-8 GBV_ILN_30 ISIL_DE-104 GBV_ILN_31 ISIL_DE-27 GBV_ILN_34 ISIL_DE-18-302 GBV_ILN_39 ISIL_DE-547 GBV_ILN_40 ISIL_DE-7 GBV_ILN_50 ISIL_DE-23 GBV_ILN_60 ISIL_DE-705 GBV_ILN_62 ISIL_DE-28 GBV_ILN_63 ISIL_DE-Wim2 GBV_ILN_65 ISIL_DE-3 GBV_ILN_69 ISIL_DE-9 GBV_ILN_70 ISIL_DE-89 GBV_ILN_72 ISIL_DE-35 GBV_ILN_90 ISIL_DE-Hil2 GBV_ILN_91 ISIL_DE-HIL3 GBV_ILN_92 ISIL_DE-33 GBV_ILN_100 ISIL_DE-Ma9 GBV_ILN_101 ISIL_DE-Ma14 GBV_ILN_105 ISIL_DE-841 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_120 ISIL_DE-715 GBV_ILN_122 ISIL_DE-897 GBV_ILN_130 ISIL_DE-700 GBV_ILN_131 ISIL_DE-Va1 GBV_ILN_132 ISIL_DE-959 GBV_ILN_136 ISIL_DE-Wis1 GBV_ILN_140 ISIL_DE-839 GBV_ILN_147 ISIL_DE-Fl3 GBV_ILN_151 ISIL_DE-546 GBV_ILN_161 ISIL_DE-960 GBV_ILN_164 ISIL_DE-916 GBV_ILN_187 ISIL_DE-Ki95 GBV_ILN_206 ISIL_DE-Brg3 GBV_ILN_213 ISIL_DE-551 GBV_ILN_230 ISIL_DE-552 GBV_ILN_250 ISIL_DE-Ga20 GBV_ILN_264 ISIL_DE-897-1 GBV_ILN_285 ISIL_DE-517 GBV_ILN_293 ISIL_DE-960-3 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_496 ISIL_DE-Y9 GBV_ILN_603 ISIL_DE-B1556 GBV_ILN_635 ISIL_DE-B2138 GBV_ILN_2007 ISIL_DE-352E GBV_ILN_2009 ISIL_DE-180 GBV_ILN_2010 ISIL_DE-15 GBV_ILN_2011 ISIL_DE-16 GBV_ILN_2015 ISIL_DE-93 GBV_ILN_2021 ISIL_DE-289 GBV_ILN_2034 ISIL_DE-Rt2 GBV_ILN_2037 ISIL_DE-747 GBV_ILN_2039 ISIL_DE-He76 GBV_ILN_2044 ISIL_DE-751 GBV_ILN_2045 ISIL_DE-Mit1 GBV_ILN_2050 ISIL_DE-Zi4 GBV_ILN_2055 ISIL_DE-840 GBV_ILN_2059 ISIL_DE-Kon4 GBV_ILN_2063 ISIL_DE-951 GBV_ILN_2064 ISIL_DE-953 GBV_ILN_2065 ISIL_DE-958 GBV_ILN_2068 ISIL_DE-Fn1 GBV_ILN_2089 ISIL_DE-540 GBV_ILN_2111 ISIL_DE-944 GBV_ILN_2112 ISIL_DE-1033 GBV_ILN_2118 ISIL_DE-Mh35 GBV_ILN_2119 ISIL_DE-943 GBV_ILN_2129 ISIL_DE-Ofb1 GBV_ILN_2143 ISIL_DE-Rav1 GBV_ILN_2152 ISIL_DE-941 GBV_ILN_2153 ISIL_DE-Hed2 GBV_ILN_2159 ISIL_DE-984 GBV_ILN_2161 ISIL_DE-D117 GBV_ILN_2206 ISIL_DE-1141 GBV_ILN_2403 ISIL_DE-LFER ST 300 Allgemeines Informatik Monografien Künstliche Intelligenz Allgemeines (DE-627)1271119005 (DE-625)rvk/143650: (DE-576)201119005 54.72 Künstliche Intelligenz SEPA (DE-627)10641240X 54.80 Angewandte Informatik SEPA (DE-627)106417967 BO 045F 006.31 11 01 0001 4272616587 00 5:LIZFREI --%%-- --%%-- --%%-- k 15-02-23 22 01 0018 4272620444 OLR-ZDB-23-GOA De Gruyter Open Access zu 15-02-23 23 01 0830 4272624229 olr-degruyter-oa f z 15-02-23 24 01 0008 4272627872 olr-dgoafrei z 15-02-23 30 01 0104 4272629158 OLR-DGGOA DeGruyter Open Access Titel z 15-02-23 31 01 0027 4272632582 OLR-FREE z 15-02-23 34 01 3551 4272636375 OLR-DG-OA De Gruyter Open Access z 15-02-23 39 01 0547 4272637649 OLR-ZDB-23-GOA ke 15-02-23 40 01 0007 4272638912 OLR-deGruyter-OA xsn 15-02-23 50 01 0023 4272640127 EBOA21 Das Werk ist lizenzfrei im Web zugänglich k 15-02-23 60 01 0705 4272641891 00 --%%-- --%%-- s --%%-- Olr-dggoa verv shib z 15-02-23 62 01 0028 4272643525 OLR-DGGOA DeGruyter Open Access Titel z 15-02-23 63 01 3401 4272644734 E-Books LF z 15-02-23 65 01 0003 4272646036 03 --%%-- ebook --%%-- --%%-- OLR-GBV-deGruyter-OA DeGruyter Open Access Titel z 15-02-23 69 01 0009 4272649787 OLR-DGGOA De Gruyter Open Access Vervielfältigungen (z.B. 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allfieldsSound |
9783110785968 PDF 978-3-11-078596-8 9783110786132 EPUB 978-3-11-078613-2 10.1515/9783110785968 doi (DE-627)183166951X (DE-599)KEP083806881 (OCoLC)1433066939 (DE-B1597)617926 (EBP)083806881 DE-627 ger DE-627 rda eng XA-DE-BE XD-US SCI013000 bisacsh COM032000 bisacsh ST 300 DE-Ofb1/23 rvk (DE-625)rvk/143650: 54.72 bkl 54.80 bkl Machine Learning under Resource Constraints Discovery in Physics edited by Katharina Morik, Wolfgang Rhode Berlin Boston De Gruyter 2022 ©2023 1 Online-Ressource (XIV, 349 Seiten) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Machine Learning under Resource Constraints Volume 2 De Gruyter STEM Frontmatter Contents 1 Introduction 2 Challenges in Particle and Astroparticle Physics 3 Key Concepts in Machine Learning and Data Analysis 4 Data Acquisition and Data Structure 5 Monte Carlo Simulations 6 Data Storage and Access 7 Monitoring and Feature Extraction 8 Event Property Estimation and Signal Background Separation 9 Deep Learning Applications 10 Inverse Problems Bibliography Index List of Contributors Open Access Controlled Vocabulary for Access Rights https://purl.org/coar/access_right/c_abf2 unrestricted online access star Machine Learning under Resource Constraints addresses novel machine learning algorithms that are challenged by high-throughput data, by high dimensions, or by complex structures of the data in three volumes. Resource constraints are given by the relation between the demands for processing the data and the capacity of the computing machinery. The resources are runtime, memory, communication, and energy. Hence, modern computer architectures play a significant role. Novel machine learning algorithms are optimized with regard to minimal resource consumption. Moreover, learned predictions are executed on diverse architectures to save resources. It provides a comprehensive overview of the novel approaches to machine learning research that consider resource constraints, as well as the application of the described methods in various domains of science and engineering. Volume 2 covers machine learning for knowledge discovery in particle and astroparticle physics. Their instruments, e.g., particle detectors or telescopes, gather petabytes of data. Here, machine learning is necessary not only to process the vast amounts of data and to detect the relevant examples efficiently, but also as part of the knowledge discovery process itself. The physical knowledge is encoded in simulations that are used to train the machine learning models. At the same time, the interpretation of the learned models serves to expand the physical knowledge. This results in a cycle of theory enhancement supported by machine learning Issued also in print Issued also in print Namensnennung 4.0 International CC BY 4.0 cc https://creativecommons.org/licenses/by/4.0/ In English Computer aided manufacture (CAM) Computeranwendungen in Industrie und Technologie Data Mining Data mining Information technology: general issues Machine learning Maschinelles Lernen Praktische Anwendung für Informationstechnologien SCIENCE / Chemistry / General COMPUTERS / Information Technology Artificial Intelligence Big Data and Machine Learning Cyber-physical systems Data mining for Ubiquitous System Software Embedded Systems and Machine Learning Highly Distributed Data ML on Small devices Machine learning for knowledge discovery Machine learning in high-energy physics Resource-Aware Machine Learning Resource-Constrained Data Analysis s (DE-588)4033447-8 (DE-627)106257188 (DE-576)209002050 Künstliche Intelligenz gnd s (DE-588)4193754-5 (DE-627)105224782 (DE-576)21008944X Maschinelles Lernen gnd s (DE-588)4396978-1 (DE-627)191533580 (DE-576)212005545 Eingebettetes System gnd s (DE-588)4802620-7 (DE-627)472310364 (DE-576)216543657 Big Data gnd (DE-627) Morik, Katharina herausgeberin edt Rhode, Wolfgang herausgeberin edt 9783110785951 Erscheint auch als Druck-Ausgabe Machine learning under resource constraints ; Volume 2: Discovery in physics Berlin : De Gruyter, 2023 XIII, 349 Seiten (DE-627)1830031333 9783110785951 https://doi.org/10.1515/9783110785968 X:GRUY Resolving-System kostenfrei https://www.degruyter.com/isbn/9783110785968 X:GRUY Verlag kostenfrei https://www.degruyter.com/document/cover/isbn/9783110785968/original X:GRUY Verlag Cover ZDB-23-DGG GBV-deGruyter-alles ZDB-23-GOA ZDB-23-DEI 2022 ZDB-23-DGG 2022 GBV_ILN_11 ISIL_DE-1a SYSFLAG_1 GBV_KXP SSG-OLC-PHA GBV_ILN_22 ISIL_DE-18 GBV_ILN_23 ISIL_DE-830 GBV_ILN_24 ISIL_DE-8 GBV_ILN_30 ISIL_DE-104 GBV_ILN_31 ISIL_DE-27 GBV_ILN_34 ISIL_DE-18-302 GBV_ILN_39 ISIL_DE-547 GBV_ILN_40 ISIL_DE-7 GBV_ILN_50 ISIL_DE-23 GBV_ILN_60 ISIL_DE-705 GBV_ILN_62 ISIL_DE-28 GBV_ILN_63 ISIL_DE-Wim2 GBV_ILN_65 ISIL_DE-3 GBV_ILN_69 ISIL_DE-9 GBV_ILN_70 ISIL_DE-89 GBV_ILN_72 ISIL_DE-35 GBV_ILN_90 ISIL_DE-Hil2 GBV_ILN_91 ISIL_DE-HIL3 GBV_ILN_92 ISIL_DE-33 GBV_ILN_100 ISIL_DE-Ma9 GBV_ILN_101 ISIL_DE-Ma14 GBV_ILN_105 ISIL_DE-841 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_120 ISIL_DE-715 GBV_ILN_122 ISIL_DE-897 GBV_ILN_130 ISIL_DE-700 GBV_ILN_131 ISIL_DE-Va1 GBV_ILN_132 ISIL_DE-959 GBV_ILN_136 ISIL_DE-Wis1 GBV_ILN_140 ISIL_DE-839 GBV_ILN_147 ISIL_DE-Fl3 GBV_ILN_151 ISIL_DE-546 GBV_ILN_161 ISIL_DE-960 GBV_ILN_164 ISIL_DE-916 GBV_ILN_187 ISIL_DE-Ki95 GBV_ILN_206 ISIL_DE-Brg3 GBV_ILN_213 ISIL_DE-551 GBV_ILN_230 ISIL_DE-552 GBV_ILN_250 ISIL_DE-Ga20 GBV_ILN_264 ISIL_DE-897-1 GBV_ILN_285 ISIL_DE-517 GBV_ILN_293 ISIL_DE-960-3 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_496 ISIL_DE-Y9 GBV_ILN_603 ISIL_DE-B1556 GBV_ILN_635 ISIL_DE-B2138 GBV_ILN_2007 ISIL_DE-352E GBV_ILN_2009 ISIL_DE-180 GBV_ILN_2010 ISIL_DE-15 GBV_ILN_2011 ISIL_DE-16 GBV_ILN_2015 ISIL_DE-93 GBV_ILN_2021 ISIL_DE-289 GBV_ILN_2034 ISIL_DE-Rt2 GBV_ILN_2037 ISIL_DE-747 GBV_ILN_2039 ISIL_DE-He76 GBV_ILN_2044 ISIL_DE-751 GBV_ILN_2045 ISIL_DE-Mit1 GBV_ILN_2050 ISIL_DE-Zi4 GBV_ILN_2055 ISIL_DE-840 GBV_ILN_2059 ISIL_DE-Kon4 GBV_ILN_2063 ISIL_DE-951 GBV_ILN_2064 ISIL_DE-953 GBV_ILN_2065 ISIL_DE-958 GBV_ILN_2068 ISIL_DE-Fn1 GBV_ILN_2089 ISIL_DE-540 GBV_ILN_2111 ISIL_DE-944 GBV_ILN_2112 ISIL_DE-1033 GBV_ILN_2118 ISIL_DE-Mh35 GBV_ILN_2119 ISIL_DE-943 GBV_ILN_2129 ISIL_DE-Ofb1 GBV_ILN_2143 ISIL_DE-Rav1 GBV_ILN_2152 ISIL_DE-941 GBV_ILN_2153 ISIL_DE-Hed2 GBV_ILN_2159 ISIL_DE-984 GBV_ILN_2161 ISIL_DE-D117 GBV_ILN_2206 ISIL_DE-1141 GBV_ILN_2403 ISIL_DE-LFER ST 300 Allgemeines Informatik Monografien Künstliche Intelligenz Allgemeines (DE-627)1271119005 (DE-625)rvk/143650: (DE-576)201119005 54.72 Künstliche Intelligenz SEPA (DE-627)10641240X 54.80 Angewandte Informatik SEPA (DE-627)106417967 BO 045F 006.31 11 01 0001 4272616587 00 5:LIZFREI --%%-- --%%-- --%%-- k 15-02-23 22 01 0018 4272620444 OLR-ZDB-23-GOA De Gruyter Open Access zu 15-02-23 23 01 0830 4272624229 olr-degruyter-oa f z 15-02-23 24 01 0008 4272627872 olr-dgoafrei z 15-02-23 30 01 0104 4272629158 OLR-DGGOA DeGruyter Open Access Titel z 15-02-23 31 01 0027 4272632582 OLR-FREE z 15-02-23 34 01 3551 4272636375 OLR-DG-OA De Gruyter Open Access z 15-02-23 39 01 0547 4272637649 OLR-ZDB-23-GOA ke 15-02-23 40 01 0007 4272638912 OLR-deGruyter-OA xsn 15-02-23 50 01 0023 4272640127 EBOA21 Das Werk ist lizenzfrei im Web zugänglich k 15-02-23 60 01 0705 4272641891 00 --%%-- --%%-- s --%%-- Olr-dggoa verv shib z 15-02-23 62 01 0028 4272643525 OLR-DGGOA DeGruyter Open Access Titel z 15-02-23 63 01 3401 4272644734 E-Books LF z 15-02-23 65 01 0003 4272646036 03 --%%-- ebook --%%-- --%%-- OLR-GBV-deGruyter-OA DeGruyter Open Access Titel z 15-02-23 69 01 0009 4272649787 OLR-DGGOA De Gruyter Open Access Vervielfältigungen (z.B. 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tag="264" ind1=" " ind2="4"><subfield code="c">©2023</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (XIV, 349 Seiten)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Machine Learning under Resource Constraints</subfield><subfield code="v">Volume 2</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">De Gruyter STEM</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="t">Frontmatter</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="t">Contents</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="t">1 Introduction</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="t">2 Challenges in Particle and Astroparticle Physics</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="t">3 Key Concepts in Machine Learning and Data Analysis</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="t">4 Data Acquisition and Data Structure</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="t">5 Monte Carlo Simulations</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="t">6 Data Storage and Access</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="t">7 Monitoring and Feature Extraction</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="t">8 Event Property Estimation and Signal Background Separation</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="t">9 Deep Learning Applications</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="t">10 Inverse Problems</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="t">Bibliography</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="t">Index</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="t">List of Contributors</subfield></datafield><datafield tag="506" ind1="0" ind2=" "><subfield code="a">Open Access</subfield><subfield code="e">Controlled Vocabulary for Access Rights</subfield><subfield code="u">https://purl.org/coar/access_right/c_abf2</subfield><subfield code="f">unrestricted online access</subfield><subfield code="2">star</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Machine Learning under Resource Constraints addresses novel machine learning algorithms that are challenged by high-throughput data, by high dimensions, or by complex structures of the data in three volumes. Resource constraints are given by the relation between the demands for processing the data and the capacity of the computing machinery. The resources are runtime, memory, communication, and energy. Hence, modern computer architectures play a significant role. Novel machine learning algorithms are optimized with regard to minimal resource consumption. Moreover, learned predictions are executed on diverse architectures to save resources. It provides a comprehensive overview of the novel approaches to machine learning research that consider resource constraints, as well as the application of the described methods in various domains of science and engineering. Volume 2 covers machine learning for knowledge discovery in particle and astroparticle physics. Their instruments, e.g., particle detectors or telescopes, gather petabytes of data. Here, machine learning is necessary not only to process the vast amounts of data and to detect the relevant examples efficiently, but also as part of the knowledge discovery process itself. The physical knowledge is encoded in simulations that are used to train the machine learning models. At the same time, the interpretation of the learned models serves to expand the physical knowledge. 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tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2039</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-He76</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2044</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-751</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2045</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-Mit1</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2050</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-Zi4</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2055</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-840</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2059</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-Kon4</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2063</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-951</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2064</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-953</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2065</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-958</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2068</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-Fn1</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2089</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-540</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2111</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-944</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-1033</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2118</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-Mh35</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2119</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-943</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2129</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-Ofb1</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2143</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-Rav1</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2152</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-941</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2153</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-Hed2</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2159</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-984</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-D117</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2206</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-1141</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2403</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-LFER</subfield></datafield><datafield tag="936" ind1="r" ind2="v"><subfield code="a">ST 300</subfield><subfield code="b">Allgemeines</subfield><subfield code="k">Informatik</subfield><subfield code="k">Monografien</subfield><subfield code="k">Künstliche Intelligenz</subfield><subfield code="k">Allgemeines</subfield><subfield code="0">(DE-627)1271119005</subfield><subfield code="0">(DE-625)rvk/143650:</subfield><subfield code="0">(DE-576)201119005</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">54.72</subfield><subfield code="j">Künstliche Intelligenz</subfield><subfield code="q">SEPA</subfield><subfield code="0">(DE-627)10641240X</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">54.80</subfield><subfield code="j">Angewandte Informatik</subfield><subfield code="q">SEPA</subfield><subfield code="0">(DE-627)106417967</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">BO</subfield></datafield><datafield tag="953" ind1=" " ind2=" "><subfield code="2">045F</subfield><subfield code="a">006.31</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">11</subfield><subfield code="1">01</subfield><subfield code="x">0001</subfield><subfield code="b">4272616587</subfield><subfield code="c">00</subfield><subfield code="f">5:LIZFREI</subfield><subfield code="d">--%%--</subfield><subfield code="e">--%%--</subfield><subfield code="j">--%%--</subfield><subfield code="y">k</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">22</subfield><subfield code="1">01</subfield><subfield code="x">0018</subfield><subfield code="b">4272620444</subfield><subfield code="h">OLR-ZDB-23-GOA</subfield><subfield code="k">De Gruyter Open Access</subfield><subfield code="y">zu</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">23</subfield><subfield code="1">01</subfield><subfield code="x">0830</subfield><subfield code="b">4272624229</subfield><subfield code="h">olr-degruyter-oa</subfield><subfield code="u">f</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">24</subfield><subfield code="1">01</subfield><subfield code="x">0008</subfield><subfield code="b">4272627872</subfield><subfield code="h">olr-dgoafrei</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">30</subfield><subfield code="1">01</subfield><subfield code="x">0104</subfield><subfield code="b">4272629158</subfield><subfield code="h">OLR-DGGOA</subfield><subfield code="k">DeGruyter Open Access Titel</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">31</subfield><subfield code="1">01</subfield><subfield code="x">0027</subfield><subfield code="b">4272632582</subfield><subfield code="h">OLR-FREE</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">34</subfield><subfield code="1">01</subfield><subfield code="x">3551</subfield><subfield code="b">4272636375</subfield><subfield code="h">OLR-DG-OA</subfield><subfield code="k">De Gruyter Open Access</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">39</subfield><subfield code="1">01</subfield><subfield code="x">0547</subfield><subfield code="b">4272637649</subfield><subfield code="h">OLR-ZDB-23-GOA</subfield><subfield code="y">ke</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">40</subfield><subfield code="1">01</subfield><subfield code="x">0007</subfield><subfield code="b">4272638912</subfield><subfield code="h">OLR-deGruyter-OA</subfield><subfield code="y">xsn</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">50</subfield><subfield code="1">01</subfield><subfield code="x">0023</subfield><subfield code="b">4272640127</subfield><subfield code="h">EBOA21</subfield><subfield code="k">Das Werk ist lizenzfrei im Web zugänglich</subfield><subfield code="y">k</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">60</subfield><subfield code="1">01</subfield><subfield code="x">0705</subfield><subfield code="b">4272641891</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">--%%--</subfield><subfield code="e">s</subfield><subfield code="j">--%%--</subfield><subfield code="h">Olr-dggoa</subfield><subfield code="u">verv</subfield><subfield code="u">shib</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">62</subfield><subfield code="1">01</subfield><subfield code="x">0028</subfield><subfield code="b">4272643525</subfield><subfield code="h">OLR-DGGOA</subfield><subfield code="k">DeGruyter Open Access Titel</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">63</subfield><subfield code="1">01</subfield><subfield code="x">3401</subfield><subfield code="b">4272644734</subfield><subfield code="h">E-Books LF</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">65</subfield><subfield code="1">01</subfield><subfield code="x">0003</subfield><subfield code="b">4272646036</subfield><subfield code="c">03</subfield><subfield code="f">--%%--</subfield><subfield code="d">ebook</subfield><subfield code="e">--%%--</subfield><subfield code="j">--%%--</subfield><subfield code="h">OLR-GBV-deGruyter-OA</subfield><subfield code="k">DeGruyter Open Access Titel</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">69</subfield><subfield code="1">01</subfield><subfield code="x">0009</subfield><subfield code="b">4272649787</subfield><subfield code="h">OLR-DGGOA</subfield><subfield code="k">De Gruyter Open Access</subfield><subfield code="k">Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden.</subfield><subfield code="y">x</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">70</subfield><subfield code="1">01</subfield><subfield code="x">0089</subfield><subfield code="b">4272651021</subfield><subfield code="h">OLR-DG-OA</subfield><subfield code="k">De Gruyter Open Access eBook</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">72</subfield><subfield code="1">01</subfield><subfield code="x">0035</subfield><subfield code="b">4272652435</subfield><subfield code="h">OLR-ZDB-23-GOA</subfield><subfield code="k">De Gruyter Open Access Titel</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">90</subfield><subfield code="1">01</subfield><subfield code="x">3090</subfield><subfield code="b">4272656112</subfield><subfield code="h">OLR-HILdegruyter</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">91</subfield><subfield code="1">01</subfield><subfield code="x">3091</subfield><subfield code="b">4272657399</subfield><subfield code="h">OLR-DGGOA</subfield><subfield code="k">Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt.</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">92</subfield><subfield code="1">01</subfield><subfield code="x">0033</subfield><subfield code="b">4272658689</subfield><subfield code="h">OLR-DGOA</subfield><subfield code="k">Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. Das Ebook ist frei zugänglich.</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">100</subfield><subfield code="1">01</subfield><subfield code="x">3100</subfield><subfield code="b">4272662341</subfield><subfield code="c">09</subfield><subfield code="f">--%%--</subfield><subfield code="d">ebook deGruyter open access</subfield><subfield code="e">--%%--</subfield><subfield code="j">--%%--</subfield><subfield code="h">OLR-DGGOA</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">101</subfield><subfield code="1">01</subfield><subfield code="x">3101</subfield><subfield code="b">4272663623</subfield><subfield code="c">09</subfield><subfield code="f">--%%--</subfield><subfield code="d">ebook deGruyter open access</subfield><subfield code="e">--%%--</subfield><subfield code="j">--%%--</subfield><subfield code="h">OLR-DGGOA</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">105</subfield><subfield code="1">01</subfield><subfield code="x">0841</subfield><subfield code="b">4272664905</subfield><subfield code="h">OLR-DGGOA</subfield><subfield code="k">DeGruyter Open Access Titel</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">110</subfield><subfield code="1">01</subfield><subfield code="x">3110</subfield><subfield code="b">427266865X</subfield><subfield code="h">OLR-OA-DEGRUYTER</subfield><subfield code="k">Kostenloser Zugriff</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">120</subfield><subfield code="1">01</subfield><subfield code="x">0715</subfield><subfield code="b">4275135687</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">--%%--</subfield><subfield code="e">g</subfield><subfield code="j">--%%--</subfield><subfield code="h">alma</subfield><subfield code="y">z</subfield><subfield code="z">21-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">122</subfield><subfield code="1">01</subfield><subfield code="x">0897</subfield><subfield code="b">4272672436</subfield><subfield code="h">OLR-OA-deGruyter</subfield><subfield code="k">Dieser Volltext ist kostenlos und unbeschränkt zur wissenschaftlichen Information im Internet zugänglich</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">130</subfield><subfield code="1">01</subfield><subfield code="x">0700</subfield><subfield code="b">4272676075</subfield><subfield code="h">OLR-DGGOA</subfield><subfield code="k">Kostenloser Zugriff</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">131</subfield><subfield code="1">01</subfield><subfield code="x">3131</subfield><subfield code="b">4272677284</subfield><subfield code="h">OLR-OA-DeGruyter</subfield><subfield code="k">Bitte beachten Sie die Nutzungsbedingungen und Copyright-Bestimmungen des Verlages/Herausgebers</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">132</subfield><subfield code="1">01</subfield><subfield code="x">0959</subfield><subfield code="b">427267854X</subfield><subfield code="h">OLR-DGGOA</subfield><subfield code="u">Open Access</subfield><subfield code="y">x</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">136</subfield><subfield code="1">01</subfield><subfield code="x">3526</subfield><subfield code="b">4272679821</subfield><subfield code="h">OLR-degruyter-oa</subfield><subfield code="k">Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt.</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">140</subfield><subfield code="1">01</subfield><subfield code="x">0839</subfield><subfield code="b">4272683594</subfield><subfield code="h">OLR-OA-deGruyter</subfield><subfield code="k">Dieser Volltext ist kostenlos und unbeschränkt zur wissenschaftlichen Information im Internet zugänglich</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">147</subfield><subfield code="1">01</subfield><subfield code="x">3528</subfield><subfield code="b">4272687360</subfield><subfield code="h">OLR-DGGOA</subfield><subfield code="k">frei verfügbar für Europa-Universität Flensburg, Hochschule Flensburg und Zentrale Hochschulbibliothek</subfield><subfield code="k">Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt.</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">151</subfield><subfield code="1">01</subfield><subfield code="x">0546</subfield><subfield code="b">4272688642</subfield><subfield code="h">OLR-ZDB-23-GOA</subfield><subfield code="k">De Gruyter Open Access</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">161</subfield><subfield code="1">01</subfield><subfield code="x">0960</subfield><subfield code="b">4272689924</subfield><subfield code="h">OLR-DGGOA</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">164</subfield><subfield code="1">01</subfield><subfield code="x">0916</subfield><subfield code="b">4303095648</subfield><subfield code="h">OLR-OA-DEGRUYTER</subfield><subfield code="k">Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt.</subfield><subfield code="y">z</subfield><subfield code="z">05-04-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">187</subfield><subfield code="1">01</subfield><subfield code="x">3520</subfield><subfield code="b">427269121X</subfield><subfield code="k">De Gruyter Open Access eBook</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">206</subfield><subfield code="1">01</subfield><subfield code="x">3350</subfield><subfield code="b">4272692496</subfield><subfield code="h">OLR-OA-DG</subfield><subfield code="k">Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt.</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">213</subfield><subfield code="1">01</subfield><subfield code="x">0551</subfield><subfield code="b">4272693794</subfield><subfield code="h">OLR-OA-Degruyter</subfield><subfield code="k">Dieser Volltext ist kostenlos und unbeschränkt zur wissenschaftlichen Information im Internet zugänglich</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">230</subfield><subfield code="1">01</subfield><subfield code="x">0552</subfield><subfield code="b">427269507X</subfield><subfield code="h">OLR-OA-Degruyter</subfield><subfield code="k">Dieser Volltext ist kostenlos und unbeschränkt zur wissenschaftlichen Information im Internet zugänglich</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">250</subfield><subfield code="1">01</subfield><subfield code="x">3250</subfield><subfield code="b">4272696351</subfield><subfield code="h">OLR-DEG</subfield><subfield code="k">Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt.</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">264</subfield><subfield code="1">01</subfield><subfield code="x">3264</subfield><subfield code="b">4272700146</subfield><subfield code="h">OLR-OA-deGruyter</subfield><subfield code="k">Dieser Volltext ist kostenlos und unbeschränkt zur wissenschaftlichen Information im Internet zugänglich</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">285</subfield><subfield code="1">01</subfield><subfield code="x">0517</subfield><subfield code="b">4272702637</subfield><subfield code="h">OLR-GRUY-OA</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">293</subfield><subfield code="1">01</subfield><subfield code="x">3293</subfield><subfield code="b">4272701444</subfield><subfield code="h">OLR-DGGOA</subfield><subfield code="y">xf</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">370</subfield><subfield code="1">01</subfield><subfield code="x">4370</subfield><subfield code="b">4272706373</subfield><subfield code="h">OLR-FREE</subfield><subfield code="k">Kostenloser Zugriff</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">496</subfield><subfield code="1">01</subfield><subfield code="x">3496</subfield><subfield code="b">4323219458</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">Online</subfield><subfield code="e">--%%--</subfield><subfield code="j">--%%--</subfield><subfield code="h">OLR-EBC</subfield><subfield code="k">Open Access</subfield><subfield code="y">z</subfield><subfield code="z">17-05-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">603</subfield><subfield code="1">01</subfield><subfield code="x">4603</subfield><subfield code="b">4272707647</subfield><subfield code="c">00</subfield><subfield code="f">Online-Publikation</subfield><subfield code="d">--%%--</subfield><subfield code="e">--%%--</subfield><subfield code="j">--%%--</subfield><subfield code="h">OLR-deGruyter-OA</subfield><subfield code="k">Bitte beachten Sie die Nutzungsbedingungen und Copyright-Bestimmungen des Verlages/Herausgebers!</subfield><subfield code="k">Elektronischer Volltext, Link anklicken</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">635</subfield><subfield code="1">01</subfield><subfield code="x">3635</subfield><subfield code="b">4509333080</subfield><subfield code="h">OLR-GOA</subfield><subfield code="k">Open Access. Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt.</subfield><subfield code="y">z</subfield><subfield code="z">09-04-24</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2007</subfield><subfield code="1">01</subfield><subfield code="x">DE-352E</subfield><subfield code="b">4473952452</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">--%%--</subfield><subfield code="e">n</subfield><subfield code="j">--%%--</subfield><subfield code="k">Open Access</subfield><subfield code="y">l01</subfield><subfield code="z">02-02-24</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2009</subfield><subfield code="1">01</subfield><subfield code="x">DE-180</subfield><subfield code="b">4250668258</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">--%%--</subfield><subfield code="e">--%%--</subfield><subfield code="j">--%%--</subfield><subfield code="y">l01</subfield><subfield code="z">23-01-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2009</subfield><subfield code="1">02</subfield><subfield code="x">DE-180</subfield><subfield code="b">4291227949</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">--%%--</subfield><subfield code="e">--%%--</subfield><subfield code="j">n</subfield><subfield code="y">l01</subfield><subfield code="z">16-03-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2010</subfield><subfield code="1">01</subfield><subfield code="x">DE-15</subfield><subfield code="b">4250668266</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">--%%--</subfield><subfield code="e">--%%--</subfield><subfield code="j">n</subfield><subfield code="k">Elektronischer Volltext - Campuslizenz</subfield><subfield code="y">l01</subfield><subfield code="z">23-01-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2011</subfield><subfield code="1">01</subfield><subfield code="x">DE-16</subfield><subfield code="b">425065432X</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">--%%--</subfield><subfield code="e">--%%--</subfield><subfield code="j">--%%--</subfield><subfield code="y">l01</subfield><subfield code="z">23-01-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2015</subfield><subfield code="1">01</subfield><subfield code="x">DE-93</subfield><subfield code="b">4250668274</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">--%%--</subfield><subfield code="e">p</subfield><subfield code="j">--%%--</subfield><subfield code="k">lizenzfrei</subfield><subfield code="y">l01</subfield><subfield code="z">23-01-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2021</subfield><subfield code="1">01</subfield><subfield code="x">DE-289</subfield><subfield code="b">4250654338</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">--%%--</subfield><subfield code="e">--%%--</subfield><subfield code="j">n</subfield><subfield code="k">Open Access</subfield><subfield code="y">l01</subfield><subfield code="z">23-01-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2034</subfield><subfield code="1">01</subfield><subfield code="x">DE-Rt2</subfield><subfield code="b">4250654346</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">eBook</subfield><subfield code="e">n</subfield><subfield code="j">n</subfield><subfield code="k">frei zugänglich</subfield><subfield code="y">l01</subfield><subfield code="z">23-01-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2037</subfield><subfield code="1">01</subfield><subfield code="x">DE-747</subfield><subfield code="b">4261659875</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">eBook DeGruyter OpenAccess</subfield><subfield code="e">--%%--</subfield><subfield code="j">n</subfield><subfield code="k">Im Internet frei verfügbar</subfield><subfield code="y">l01</subfield><subfield code="z">01-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2039</subfield><subfield code="1">01</subfield><subfield code="x">DE-He76</subfield><subfield code="b">4433162930</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">E-Book OA</subfield><subfield code="e">--%%--</subfield><subfield code="j">n</subfield><subfield code="k">Elektronischer Volltext</subfield><subfield code="y">l01</subfield><subfield code="z">12-12-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2044</subfield><subfield code="1">01</subfield><subfield code="x">DE-751</subfield><subfield code="b">4250654354</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">eBook de Gruyter</subfield><subfield code="e">--%%--</subfield><subfield code="j">n</subfield><subfield code="k">Bitte beachten Sie auch die Nutzungshinweise auf unserer Homepage</subfield><subfield code="y">l01</subfield><subfield code="z">23-01-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2045</subfield><subfield code="1">01</subfield><subfield code="x">DE-Mit1</subfield><subfield code="b">4250668282</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">--%%--</subfield><subfield code="e">--%%--</subfield><subfield code="j">n</subfield><subfield code="k">Volltext - Campuslizenz</subfield><subfield code="y">l01</subfield><subfield code="z">23-01-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2050</subfield><subfield code="1">01</subfield><subfield code="x">DE-Zi4</subfield><subfield code="b">4250668290</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">--%%--</subfield><subfield code="e">--%%--</subfield><subfield code="j">n</subfield><subfield code="k">Elektronischer Volltext - Campuslizenz</subfield><subfield code="y">l01</subfield><subfield code="z">23-01-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2055</subfield><subfield code="1">01</subfield><subfield code="x">DE-840</subfield><subfield code="b">440084532X</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">DeGruyter Technik Informatik</subfield><subfield code="e">--%%--</subfield><subfield code="j">n</subfield><subfield code="k">Campuslizenz HHN</subfield><subfield code="y">l01</subfield><subfield code="z">02-11-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2059</subfield><subfield code="1">01</subfield><subfield code="x">DE-Kon4</subfield><subfield code="b">4250654362</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">eBook deGruyter</subfield><subfield code="e">--%%--</subfield><subfield code="j">n</subfield><subfield code="k">Elektronischer Volltext - Zugang über WWW</subfield><subfield code="y">l01</subfield><subfield code="z">23-01-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2063</subfield><subfield code="1">01</subfield><subfield code="x">DE-951</subfield><subfield code="b">4250654370</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">De Gruyter (Open Access)</subfield><subfield code="e">--%%--</subfield><subfield code="j">n</subfield><subfield code="k">Elektronischer Volltext - Campuslizenz</subfield><subfield code="y">l01</subfield><subfield code="z">23-01-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2064</subfield><subfield code="1">01</subfield><subfield code="x">DE-953</subfield><subfield code="b">4250654389</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">eBook OA</subfield><subfield code="e">--%%--</subfield><subfield code="j">n</subfield><subfield code="k">Elektronischer Volltext - Open Access</subfield><subfield code="y">l01</subfield><subfield code="z">23-01-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2065</subfield><subfield code="1">01</subfield><subfield code="x">DE-958</subfield><subfield code="b">4250654397</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">eBook DeGruyter</subfield><subfield code="e">--%%--</subfield><subfield code="j">n</subfield><subfield code="k">Elektronischer Volltext - Campuslizenz</subfield><subfield code="y">l01</subfield><subfield code="z">23-01-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2068</subfield><subfield code="1">01</subfield><subfield code="x">DE-Fn1</subfield><subfield code="b">4250654400</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">eBook DeGruyter</subfield><subfield code="e">--%%--</subfield><subfield code="j">n</subfield><subfield code="y">l01</subfield><subfield code="z">23-01-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2089</subfield><subfield code="1">01</subfield><subfield code="x">DE-540</subfield><subfield code="b">4250668304</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">--%%--</subfield><subfield code="e">p</subfield><subfield code="j">n</subfield><subfield code="k">Elektronischer Volltext - Open Access</subfield><subfield code="y">l01</subfield><subfield code="z">23-01-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2111</subfield><subfield code="1">01</subfield><subfield code="x">DE-944</subfield><subfield code="b">4250654419</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">E-Book De Gruyter</subfield><subfield code="e">--%%--</subfield><subfield code="j">n</subfield><subfield code="k">Elektronischer Volltext - Campuslizenz</subfield><subfield code="y">l01</subfield><subfield code="z">23-01-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2112</subfield><subfield code="1">01</subfield><subfield code="x">DE-1033</subfield><subfield code="b">4352158925</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">deGruyter OA</subfield><subfield code="e">--%%--</subfield><subfield code="j">n</subfield><subfield code="y">l01</subfield><subfield code="z">11-07-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2118</subfield><subfield code="1">01</subfield><subfield code="x">DE-Mh35</subfield><subfield code="b">4250654427</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">--%%--</subfield><subfield code="e">--%%--</subfield><subfield code="j">n</subfield><subfield code="k">Elektronischer Volltext - Campuslizenz</subfield><subfield code="y">l01</subfield><subfield code="z">23-01-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2119</subfield><subfield code="1">01</subfield><subfield code="x">DE-943</subfield><subfield code="b">434009661X</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">eBook DeGruyter Oldenbourg</subfield><subfield code="e">--%%--</subfield><subfield code="j">n</subfield><subfield code="k">Elektronischer Volltext - Campuslizenz</subfield><subfield code="y">l01</subfield><subfield code="z">17-06-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2129</subfield><subfield code="1">01</subfield><subfield code="x">DE-Ofb1</subfield><subfield code="b">4255706654</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">E-Book DeGruyter</subfield><subfield code="e">--%%--</subfield><subfield code="j">n</subfield><subfield code="y">l01</subfield><subfield code="z">31-01-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2143</subfield><subfield code="1">01</subfield><subfield code="x">DE-Rav1</subfield><subfield code="b">4250654435</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">E-Book OA</subfield><subfield code="e">--%%--</subfield><subfield code="j">n</subfield><subfield code="y">l01</subfield><subfield code="z">23-01-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2152</subfield><subfield code="1">01</subfield><subfield code="x">DE-941</subfield><subfield code="b">4250654443</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">E-Book deGruyter</subfield><subfield code="e">--%%--</subfield><subfield code="j">n</subfield><subfield code="k">Elektronischer Volltext - Campuslizenz</subfield><subfield code="y">l01</subfield><subfield code="z">23-01-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2153</subfield><subfield code="1">01</subfield><subfield code="x">DE-Hed2</subfield><subfield code="b">4250654451</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">e-Book De Gruyter OA</subfield><subfield code="e">--%%--</subfield><subfield code="j">n</subfield><subfield code="k">Elektronischer Volltext - Open Access</subfield><subfield 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5:LIZFREI --%%-- Online-Publikation |
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E - United States History |
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Machine Learning under Resource Constraints De Gruyter STEM |
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496:De Gruyter Open Access 3496:De Gruyter Open Access 2063:e-Book DE-951:e-Book 2063:e-Book De Gruyter (Open Access) DE-951:e-Book De Gruyter (Open Access) 2111:e-Book DE-944:e-Book 2143:eBook DE-Rav1:eBook 2152:e-Book DE-941:e-Book 2153:e-Book DE-Hed2:e-Book 2159:eBook DE-984:eBook 2159:eBook OpenAccess DE-984:eBook OpenAccess 2159:eBook OA DeGruyter DE-984:eBook OA DeGruyter |
contents |
Frontmatter Contents 1 Introduction 2 Challenges in Particle and Astroparticle Physics 3 Key Concepts in Machine Learning and Data Analysis 4 Data Acquisition and Data Structure 5 Monte Carlo Simulations 6 Data Storage and Access 7 Monitoring and Feature Extraction 8 Event Property Estimation and Signal Background Separation 9 Deep Learning Applications 10 Inverse Problems Bibliography Index List of Contributors |
spellingShingle |
Frontmatter Contents 1 Introduction 2 Challenges in Particle and Astroparticle Physics 3 Key Concepts in Machine Learning and Data Analysis 4 Data Acquisition and Data Structure 5 Monte Carlo Simulations 6 Data Storage and Access 7 Monitoring and Feature Extraction 8 Event Property Estimation and Signal Background Separation 9 Deep Learning Applications 10 Inverse Problems Bibliography Index List of Contributors rvk ST 300 bkl 54.72 bkl 54.80 misc Computer aided manufacture (CAM) misc Computeranwendungen in Industrie und Technologie misc Data Mining misc Data mining misc Information technology: general issues misc Machine learning misc Maschinelles Lernen misc Praktische Anwendung für Informationstechnologien misc SCIENCE / Chemistry / General misc COMPUTERS / Information Technology misc Artificial Intelligence misc Big Data and Machine Learning misc Cyber-physical systems misc Data mining for Ubiquitous System Software misc Embedded Systems and Machine Learning misc Highly Distributed Data misc ML on Small devices misc Machine learning for knowledge discovery misc Machine learning in high-energy physics misc Resource-Aware Machine Learning misc Resource-Constrained Data Analysis gnd Künstliche Intelligenz gnd Maschinelles Lernen gnd Eingebettetes System gnd Big Data 31 e-book DeGruyter 122 Open Access 132 EBooks DeGruyter Open Access 140 Open Access 264 Open Access Machine Learning under Resource Constraints Discovery in Physics |
topic_title |
ST 300 DE-Ofb1/23 rvk (DE-625)rvk/143650 54.72 bkl 54.80 bkl 31 01 0027 00 e-book DeGruyter 122 00 DE-897 00 Open Access 132 01 0959 00 EBooks DeGruyter Open Access 140 00 DE-839 00 Open Access 264 00 DE-897-1 00 Open Access Machine Learning under Resource Constraints Discovery in Physics edited by Katharina Morik, Wolfgang Rhode Computer aided manufacture (CAM) Computeranwendungen in Industrie und Technologie Data Mining Data mining Information technology: general issues Machine learning Maschinelles Lernen Praktische Anwendung für Informationstechnologien SCIENCE / Chemistry / General COMPUTERS / Information Technology s (DE-588)4033447-8 (DE-627)106257188 (DE-576)209002050 Künstliche Intelligenz gnd s (DE-588)4193754-5 (DE-627)105224782 (DE-576)21008944X Maschinelles Lernen gnd s (DE-588)4396978-1 (DE-627)191533580 (DE-576)212005545 Eingebettetes System gnd s (DE-588)4802620-7 (DE-627)472310364 (DE-576)216543657 Big Data gnd (DE-627) |
publisher |
De Gruyter |
publisherStr |
De Gruyter |
topic |
rvk ST 300 bkl 54.72 bkl 54.80 misc Computer aided manufacture (CAM) misc Computeranwendungen in Industrie und Technologie misc Data Mining misc Data mining misc Information technology: general issues misc Machine learning misc Maschinelles Lernen misc Praktische Anwendung für Informationstechnologien misc SCIENCE / Chemistry / General misc COMPUTERS / Information Technology misc Artificial Intelligence misc Big Data and Machine Learning misc Cyber-physical systems misc Data mining for Ubiquitous System Software misc Embedded Systems and Machine Learning misc Highly Distributed Data misc ML on Small devices misc Machine learning for knowledge discovery misc Machine learning in high-energy physics misc Resource-Aware Machine Learning misc Resource-Constrained Data Analysis gnd Künstliche Intelligenz gnd Maschinelles Lernen gnd Eingebettetes System gnd Big Data 31 e-book DeGruyter 122 Open Access 132 EBooks DeGruyter Open Access 140 Open Access 264 Open Access |
topic_unstemmed |
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Machine Learning under Resource Constraints Discovery in Physics |
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Machine Learning under Resource Constraints addresses novel machine learning algorithms that are challenged by high-throughput data, by high dimensions, or by complex structures of the data in three volumes. Resource constraints are given by the relation between the demands for processing the data and the capacity of the computing machinery. The resources are runtime, memory, communication, and energy. Hence, modern computer architectures play a significant role. Novel machine learning algorithms are optimized with regard to minimal resource consumption. Moreover, learned predictions are executed on diverse architectures to save resources. It provides a comprehensive overview of the novel approaches to machine learning research that consider resource constraints, as well as the application of the described methods in various domains of science and engineering. Volume 2 covers machine learning for knowledge discovery in particle and astroparticle physics. Their instruments, e.g., particle detectors or telescopes, gather petabytes of data. Here, machine learning is necessary not only to process the vast amounts of data and to detect the relevant examples efficiently, but also as part of the knowledge discovery process itself. The physical knowledge is encoded in simulations that are used to train the machine learning models. At the same time, the interpretation of the learned models serves to expand the physical knowledge. This results in a cycle of theory enhancement supported by machine learning |
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Machine Learning under Resource Constraints addresses novel machine learning algorithms that are challenged by high-throughput data, by high dimensions, or by complex structures of the data in three volumes. Resource constraints are given by the relation between the demands for processing the data and the capacity of the computing machinery. The resources are runtime, memory, communication, and energy. Hence, modern computer architectures play a significant role. Novel machine learning algorithms are optimized with regard to minimal resource consumption. Moreover, learned predictions are executed on diverse architectures to save resources. It provides a comprehensive overview of the novel approaches to machine learning research that consider resource constraints, as well as the application of the described methods in various domains of science and engineering. Volume 2 covers machine learning for knowledge discovery in particle and astroparticle physics. Their instruments, e.g., particle detectors or telescopes, gather petabytes of data. Here, machine learning is necessary not only to process the vast amounts of data and to detect the relevant examples efficiently, but also as part of the knowledge discovery process itself. The physical knowledge is encoded in simulations that are used to train the machine learning models. At the same time, the interpretation of the learned models serves to expand the physical knowledge. This results in a cycle of theory enhancement supported by machine learning |
abstract_unstemmed |
Machine Learning under Resource Constraints addresses novel machine learning algorithms that are challenged by high-throughput data, by high dimensions, or by complex structures of the data in three volumes. Resource constraints are given by the relation between the demands for processing the data and the capacity of the computing machinery. The resources are runtime, memory, communication, and energy. Hence, modern computer architectures play a significant role. Novel machine learning algorithms are optimized with regard to minimal resource consumption. Moreover, learned predictions are executed on diverse architectures to save resources. It provides a comprehensive overview of the novel approaches to machine learning research that consider resource constraints, as well as the application of the described methods in various domains of science and engineering. Volume 2 covers machine learning for knowledge discovery in particle and astroparticle physics. Their instruments, e.g., particle detectors or telescopes, gather petabytes of data. Here, machine learning is necessary not only to process the vast amounts of data and to detect the relevant examples efficiently, but also as part of the knowledge discovery process itself. The physical knowledge is encoded in simulations that are used to train the machine learning models. At the same time, the interpretation of the learned models serves to expand the physical knowledge. This results in a cycle of theory enhancement supported by machine learning |
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Machine Learning under Resource Constraints |
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tag="264" ind1=" " ind2="4"><subfield code="c">©2023</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (XIV, 349 Seiten)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Machine Learning under Resource Constraints</subfield><subfield code="v">Volume 2</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">De Gruyter STEM</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="t">Frontmatter</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="t">Contents</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="t">1 Introduction</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="t">2 Challenges in Particle and Astroparticle Physics</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="t">3 Key Concepts in Machine Learning and Data Analysis</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="t">4 Data Acquisition and Data Structure</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="t">5 Monte Carlo Simulations</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="t">6 Data Storage and Access</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="t">7 Monitoring and Feature Extraction</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="t">8 Event Property Estimation and Signal Background Separation</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="t">9 Deep Learning Applications</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="t">10 Inverse Problems</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="t">Bibliography</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="t">Index</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="t">List of Contributors</subfield></datafield><datafield tag="506" ind1="0" ind2=" "><subfield code="a">Open Access</subfield><subfield code="e">Controlled Vocabulary for Access Rights</subfield><subfield code="u">https://purl.org/coar/access_right/c_abf2</subfield><subfield code="f">unrestricted online access</subfield><subfield code="2">star</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Machine Learning under Resource Constraints addresses novel machine learning algorithms that are challenged by high-throughput data, by high dimensions, or by complex structures of the data in three volumes. Resource constraints are given by the relation between the demands for processing the data and the capacity of the computing machinery. The resources are runtime, memory, communication, and energy. Hence, modern computer architectures play a significant role. Novel machine learning algorithms are optimized with regard to minimal resource consumption. Moreover, learned predictions are executed on diverse architectures to save resources. It provides a comprehensive overview of the novel approaches to machine learning research that consider resource constraints, as well as the application of the described methods in various domains of science and engineering. Volume 2 covers machine learning for knowledge discovery in particle and astroparticle physics. Their instruments, e.g., particle detectors or telescopes, gather petabytes of data. Here, machine learning is necessary not only to process the vast amounts of data and to detect the relevant examples efficiently, but also as part of the knowledge discovery process itself. The physical knowledge is encoded in simulations that are used to train the machine learning models. At the same time, the interpretation of the learned models serves to expand the physical knowledge. This results in a cycle of theory enhancement supported by machine learning</subfield></datafield><datafield tag="530" ind1=" " ind2=" "><subfield code="a">Issued also in print</subfield></datafield><datafield tag="533" ind1=" " ind2=" "><subfield code="n">Issued also in print</subfield></datafield><datafield tag="540" ind1=" " ind2=" "><subfield code="a">Namensnennung 4.0 International</subfield><subfield code="f">CC BY 4.0</subfield><subfield code="2">cc</subfield><subfield code="u">https://creativecommons.org/licenses/by/4.0/</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">In English</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computer aided manufacture (CAM)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computeranwendungen in Industrie und Technologie</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Data Mining</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Data mining</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Information technology: general issues</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Machine learning</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Maschinelles Lernen</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Praktische Anwendung für Informationstechnologien</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">SCIENCE / Chemistry / General</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">COMPUTERS / Information Technology</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Artificial Intelligence</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Big Data and Machine Learning</subfield></datafield><datafield tag="653" ind1=" " 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tag="689" ind1="0" ind2="0"><subfield code="D">s</subfield><subfield code="0">(DE-588)4033447-8</subfield><subfield code="0">(DE-627)106257188</subfield><subfield code="0">(DE-576)209002050</subfield><subfield code="a">Künstliche Intelligenz</subfield><subfield code="2">gnd</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="D">s</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="0">(DE-627)105224782</subfield><subfield code="0">(DE-576)21008944X</subfield><subfield code="a">Maschinelles Lernen</subfield><subfield code="2">gnd</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="D">s</subfield><subfield code="0">(DE-588)4396978-1</subfield><subfield code="0">(DE-627)191533580</subfield><subfield code="0">(DE-576)212005545</subfield><subfield code="a">Eingebettetes System</subfield><subfield code="2">gnd</subfield></datafield><datafield tag="689" ind1="0" ind2="3"><subfield code="D">s</subfield><subfield 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ind2=" "><subfield code="a">ISIL_DE-540</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2111</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-944</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-1033</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2118</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-Mh35</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2119</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-943</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2129</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-Ofb1</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2143</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-Rav1</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2152</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-941</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2153</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-Hed2</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2159</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-984</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-D117</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2206</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-1141</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2403</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-LFER</subfield></datafield><datafield tag="936" ind1="r" ind2="v"><subfield code="a">ST 300</subfield><subfield code="b">Allgemeines</subfield><subfield code="k">Informatik</subfield><subfield code="k">Monografien</subfield><subfield code="k">Künstliche Intelligenz</subfield><subfield code="k">Allgemeines</subfield><subfield code="0">(DE-627)1271119005</subfield><subfield code="0">(DE-625)rvk/143650:</subfield><subfield code="0">(DE-576)201119005</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">54.72</subfield><subfield code="j">Künstliche Intelligenz</subfield><subfield code="q">SEPA</subfield><subfield code="0">(DE-627)10641240X</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">54.80</subfield><subfield code="j">Angewandte Informatik</subfield><subfield code="q">SEPA</subfield><subfield code="0">(DE-627)106417967</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">BO</subfield></datafield><datafield tag="953" ind1=" " ind2=" "><subfield code="2">045F</subfield><subfield code="a">006.31</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">11</subfield><subfield code="1">01</subfield><subfield code="x">0001</subfield><subfield code="b">4272616587</subfield><subfield code="c">00</subfield><subfield code="f">5:LIZFREI</subfield><subfield code="d">--%%--</subfield><subfield code="e">--%%--</subfield><subfield code="j">--%%--</subfield><subfield code="y">k</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">22</subfield><subfield code="1">01</subfield><subfield code="x">0018</subfield><subfield code="b">4272620444</subfield><subfield code="h">OLR-ZDB-23-GOA</subfield><subfield code="k">De Gruyter Open Access</subfield><subfield code="y">zu</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">23</subfield><subfield code="1">01</subfield><subfield code="x">0830</subfield><subfield code="b">4272624229</subfield><subfield code="h">olr-degruyter-oa</subfield><subfield code="u">f</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">24</subfield><subfield code="1">01</subfield><subfield code="x">0008</subfield><subfield code="b">4272627872</subfield><subfield code="h">olr-dgoafrei</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">30</subfield><subfield code="1">01</subfield><subfield code="x">0104</subfield><subfield code="b">4272629158</subfield><subfield code="h">OLR-DGGOA</subfield><subfield code="k">DeGruyter Open Access Titel</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">31</subfield><subfield code="1">01</subfield><subfield code="x">0027</subfield><subfield code="b">4272632582</subfield><subfield code="h">OLR-FREE</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">34</subfield><subfield code="1">01</subfield><subfield code="x">3551</subfield><subfield code="b">4272636375</subfield><subfield code="h">OLR-DG-OA</subfield><subfield code="k">De Gruyter Open Access</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">39</subfield><subfield code="1">01</subfield><subfield code="x">0547</subfield><subfield code="b">4272637649</subfield><subfield code="h">OLR-ZDB-23-GOA</subfield><subfield code="y">ke</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">40</subfield><subfield code="1">01</subfield><subfield code="x">0007</subfield><subfield code="b">4272638912</subfield><subfield code="h">OLR-deGruyter-OA</subfield><subfield code="y">xsn</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">50</subfield><subfield code="1">01</subfield><subfield code="x">0023</subfield><subfield code="b">4272640127</subfield><subfield code="h">EBOA21</subfield><subfield code="k">Das Werk ist lizenzfrei im Web zugänglich</subfield><subfield code="y">k</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">60</subfield><subfield code="1">01</subfield><subfield code="x">0705</subfield><subfield code="b">4272641891</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">--%%--</subfield><subfield code="e">s</subfield><subfield code="j">--%%--</subfield><subfield code="h">Olr-dggoa</subfield><subfield code="u">verv</subfield><subfield code="u">shib</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">62</subfield><subfield code="1">01</subfield><subfield code="x">0028</subfield><subfield code="b">4272643525</subfield><subfield code="h">OLR-DGGOA</subfield><subfield code="k">DeGruyter Open Access Titel</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">63</subfield><subfield code="1">01</subfield><subfield code="x">3401</subfield><subfield code="b">4272644734</subfield><subfield code="h">E-Books LF</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">65</subfield><subfield code="1">01</subfield><subfield code="x">0003</subfield><subfield code="b">4272646036</subfield><subfield code="c">03</subfield><subfield code="f">--%%--</subfield><subfield code="d">ebook</subfield><subfield code="e">--%%--</subfield><subfield code="j">--%%--</subfield><subfield code="h">OLR-GBV-deGruyter-OA</subfield><subfield code="k">DeGruyter Open Access Titel</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">69</subfield><subfield code="1">01</subfield><subfield code="x">0009</subfield><subfield code="b">4272649787</subfield><subfield code="h">OLR-DGGOA</subfield><subfield code="k">De Gruyter Open Access</subfield><subfield code="k">Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden.</subfield><subfield code="y">x</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">70</subfield><subfield code="1">01</subfield><subfield code="x">0089</subfield><subfield code="b">4272651021</subfield><subfield code="h">OLR-DG-OA</subfield><subfield code="k">De Gruyter Open Access eBook</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">72</subfield><subfield code="1">01</subfield><subfield code="x">0035</subfield><subfield code="b">4272652435</subfield><subfield code="h">OLR-ZDB-23-GOA</subfield><subfield code="k">De Gruyter Open Access Titel</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">90</subfield><subfield code="1">01</subfield><subfield code="x">3090</subfield><subfield code="b">4272656112</subfield><subfield code="h">OLR-HILdegruyter</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">91</subfield><subfield code="1">01</subfield><subfield code="x">3091</subfield><subfield code="b">4272657399</subfield><subfield code="h">OLR-DGGOA</subfield><subfield code="k">Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt.</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">92</subfield><subfield code="1">01</subfield><subfield code="x">0033</subfield><subfield code="b">4272658689</subfield><subfield code="h">OLR-DGOA</subfield><subfield code="k">Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. Das Ebook ist frei zugänglich.</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">100</subfield><subfield code="1">01</subfield><subfield code="x">3100</subfield><subfield code="b">4272662341</subfield><subfield code="c">09</subfield><subfield code="f">--%%--</subfield><subfield code="d">ebook deGruyter open access</subfield><subfield code="e">--%%--</subfield><subfield code="j">--%%--</subfield><subfield code="h">OLR-DGGOA</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">101</subfield><subfield code="1">01</subfield><subfield code="x">3101</subfield><subfield code="b">4272663623</subfield><subfield code="c">09</subfield><subfield code="f">--%%--</subfield><subfield code="d">ebook deGruyter open access</subfield><subfield code="e">--%%--</subfield><subfield code="j">--%%--</subfield><subfield code="h">OLR-DGGOA</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">105</subfield><subfield code="1">01</subfield><subfield code="x">0841</subfield><subfield code="b">4272664905</subfield><subfield code="h">OLR-DGGOA</subfield><subfield code="k">DeGruyter Open Access Titel</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">110</subfield><subfield code="1">01</subfield><subfield code="x">3110</subfield><subfield code="b">427266865X</subfield><subfield code="h">OLR-OA-DEGRUYTER</subfield><subfield code="k">Kostenloser Zugriff</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">120</subfield><subfield code="1">01</subfield><subfield code="x">0715</subfield><subfield code="b">4275135687</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">--%%--</subfield><subfield code="e">g</subfield><subfield code="j">--%%--</subfield><subfield code="h">alma</subfield><subfield code="y">z</subfield><subfield code="z">21-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">122</subfield><subfield code="1">01</subfield><subfield code="x">0897</subfield><subfield code="b">4272672436</subfield><subfield code="h">OLR-OA-deGruyter</subfield><subfield code="k">Dieser Volltext ist kostenlos und unbeschränkt zur wissenschaftlichen Information im Internet zugänglich</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">130</subfield><subfield code="1">01</subfield><subfield code="x">0700</subfield><subfield code="b">4272676075</subfield><subfield code="h">OLR-DGGOA</subfield><subfield code="k">Kostenloser Zugriff</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">131</subfield><subfield code="1">01</subfield><subfield code="x">3131</subfield><subfield code="b">4272677284</subfield><subfield code="h">OLR-OA-DeGruyter</subfield><subfield code="k">Bitte beachten Sie die Nutzungsbedingungen und Copyright-Bestimmungen des Verlages/Herausgebers</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">132</subfield><subfield code="1">01</subfield><subfield code="x">0959</subfield><subfield code="b">427267854X</subfield><subfield code="h">OLR-DGGOA</subfield><subfield code="u">Open Access</subfield><subfield code="y">x</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">136</subfield><subfield code="1">01</subfield><subfield code="x">3526</subfield><subfield code="b">4272679821</subfield><subfield code="h">OLR-degruyter-oa</subfield><subfield code="k">Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt.</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">140</subfield><subfield code="1">01</subfield><subfield code="x">0839</subfield><subfield code="b">4272683594</subfield><subfield code="h">OLR-OA-deGruyter</subfield><subfield code="k">Dieser Volltext ist kostenlos und unbeschränkt zur wissenschaftlichen Information im Internet zugänglich</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">147</subfield><subfield code="1">01</subfield><subfield code="x">3528</subfield><subfield code="b">4272687360</subfield><subfield code="h">OLR-DGGOA</subfield><subfield code="k">frei verfügbar für Europa-Universität Flensburg, Hochschule Flensburg und Zentrale Hochschulbibliothek</subfield><subfield code="k">Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt.</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">151</subfield><subfield code="1">01</subfield><subfield code="x">0546</subfield><subfield code="b">4272688642</subfield><subfield code="h">OLR-ZDB-23-GOA</subfield><subfield code="k">De Gruyter Open Access</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">161</subfield><subfield code="1">01</subfield><subfield code="x">0960</subfield><subfield code="b">4272689924</subfield><subfield code="h">OLR-DGGOA</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">164</subfield><subfield code="1">01</subfield><subfield code="x">0916</subfield><subfield code="b">4303095648</subfield><subfield code="h">OLR-OA-DEGRUYTER</subfield><subfield code="k">Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt.</subfield><subfield code="y">z</subfield><subfield code="z">05-04-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">187</subfield><subfield code="1">01</subfield><subfield code="x">3520</subfield><subfield code="b">427269121X</subfield><subfield code="k">De Gruyter Open Access eBook</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">206</subfield><subfield code="1">01</subfield><subfield code="x">3350</subfield><subfield code="b">4272692496</subfield><subfield code="h">OLR-OA-DG</subfield><subfield code="k">Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt.</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">213</subfield><subfield code="1">01</subfield><subfield code="x">0551</subfield><subfield code="b">4272693794</subfield><subfield code="h">OLR-OA-Degruyter</subfield><subfield code="k">Dieser Volltext ist kostenlos und unbeschränkt zur wissenschaftlichen Information im Internet zugänglich</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">230</subfield><subfield code="1">01</subfield><subfield code="x">0552</subfield><subfield code="b">427269507X</subfield><subfield code="h">OLR-OA-Degruyter</subfield><subfield code="k">Dieser Volltext ist kostenlos und unbeschränkt zur wissenschaftlichen Information im Internet zugänglich</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">250</subfield><subfield code="1">01</subfield><subfield code="x">3250</subfield><subfield code="b">4272696351</subfield><subfield code="h">OLR-DEG</subfield><subfield code="k">Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt.</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">264</subfield><subfield code="1">01</subfield><subfield code="x">3264</subfield><subfield code="b">4272700146</subfield><subfield code="h">OLR-OA-deGruyter</subfield><subfield code="k">Dieser Volltext ist kostenlos und unbeschränkt zur wissenschaftlichen Information im Internet zugänglich</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">285</subfield><subfield code="1">01</subfield><subfield code="x">0517</subfield><subfield code="b">4272702637</subfield><subfield code="h">OLR-GRUY-OA</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">293</subfield><subfield code="1">01</subfield><subfield code="x">3293</subfield><subfield code="b">4272701444</subfield><subfield code="h">OLR-DGGOA</subfield><subfield code="y">xf</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">370</subfield><subfield code="1">01</subfield><subfield code="x">4370</subfield><subfield code="b">4272706373</subfield><subfield code="h">OLR-FREE</subfield><subfield code="k">Kostenloser Zugriff</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">496</subfield><subfield code="1">01</subfield><subfield code="x">3496</subfield><subfield code="b">4323219458</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">Online</subfield><subfield code="e">--%%--</subfield><subfield code="j">--%%--</subfield><subfield code="h">OLR-EBC</subfield><subfield code="k">Open Access</subfield><subfield code="y">z</subfield><subfield code="z">17-05-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">603</subfield><subfield code="1">01</subfield><subfield code="x">4603</subfield><subfield code="b">4272707647</subfield><subfield code="c">00</subfield><subfield code="f">Online-Publikation</subfield><subfield code="d">--%%--</subfield><subfield code="e">--%%--</subfield><subfield code="j">--%%--</subfield><subfield code="h">OLR-deGruyter-OA</subfield><subfield code="k">Bitte beachten Sie die Nutzungsbedingungen und Copyright-Bestimmungen des Verlages/Herausgebers!</subfield><subfield code="k">Elektronischer Volltext, Link anklicken</subfield><subfield code="y">z</subfield><subfield code="z">15-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">635</subfield><subfield code="1">01</subfield><subfield code="x">3635</subfield><subfield code="b">4509333080</subfield><subfield code="h">OLR-GOA</subfield><subfield code="k">Open Access. Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt.</subfield><subfield code="y">z</subfield><subfield code="z">09-04-24</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2007</subfield><subfield code="1">01</subfield><subfield code="x">DE-352E</subfield><subfield code="b">4473952452</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">--%%--</subfield><subfield code="e">n</subfield><subfield code="j">--%%--</subfield><subfield code="k">Open Access</subfield><subfield code="y">l01</subfield><subfield code="z">02-02-24</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2009</subfield><subfield code="1">01</subfield><subfield code="x">DE-180</subfield><subfield code="b">4250668258</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">--%%--</subfield><subfield code="e">--%%--</subfield><subfield code="j">--%%--</subfield><subfield code="y">l01</subfield><subfield code="z">23-01-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2009</subfield><subfield code="1">02</subfield><subfield code="x">DE-180</subfield><subfield code="b">4291227949</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">--%%--</subfield><subfield code="e">--%%--</subfield><subfield code="j">n</subfield><subfield code="y">l01</subfield><subfield code="z">16-03-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2010</subfield><subfield code="1">01</subfield><subfield code="x">DE-15</subfield><subfield code="b">4250668266</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">--%%--</subfield><subfield code="e">--%%--</subfield><subfield code="j">n</subfield><subfield code="k">Elektronischer Volltext - Campuslizenz</subfield><subfield code="y">l01</subfield><subfield code="z">23-01-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2011</subfield><subfield code="1">01</subfield><subfield code="x">DE-16</subfield><subfield code="b">425065432X</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">--%%--</subfield><subfield code="e">--%%--</subfield><subfield code="j">--%%--</subfield><subfield code="y">l01</subfield><subfield code="z">23-01-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2015</subfield><subfield code="1">01</subfield><subfield code="x">DE-93</subfield><subfield code="b">4250668274</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">--%%--</subfield><subfield code="e">p</subfield><subfield code="j">--%%--</subfield><subfield code="k">lizenzfrei</subfield><subfield code="y">l01</subfield><subfield code="z">23-01-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2021</subfield><subfield code="1">01</subfield><subfield code="x">DE-289</subfield><subfield code="b">4250654338</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">--%%--</subfield><subfield code="e">--%%--</subfield><subfield code="j">n</subfield><subfield code="k">Open Access</subfield><subfield code="y">l01</subfield><subfield code="z">23-01-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2034</subfield><subfield code="1">01</subfield><subfield code="x">DE-Rt2</subfield><subfield code="b">4250654346</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">eBook</subfield><subfield code="e">n</subfield><subfield code="j">n</subfield><subfield code="k">frei zugänglich</subfield><subfield code="y">l01</subfield><subfield code="z">23-01-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2037</subfield><subfield code="1">01</subfield><subfield code="x">DE-747</subfield><subfield code="b">4261659875</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">eBook DeGruyter OpenAccess</subfield><subfield code="e">--%%--</subfield><subfield code="j">n</subfield><subfield code="k">Im Internet frei verfügbar</subfield><subfield code="y">l01</subfield><subfield code="z">01-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2039</subfield><subfield code="1">01</subfield><subfield code="x">DE-He76</subfield><subfield code="b">4433162930</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">E-Book OA</subfield><subfield code="e">--%%--</subfield><subfield code="j">n</subfield><subfield code="k">Elektronischer Volltext</subfield><subfield code="y">l01</subfield><subfield code="z">12-12-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2044</subfield><subfield code="1">01</subfield><subfield code="x">DE-751</subfield><subfield code="b">4250654354</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">eBook de Gruyter</subfield><subfield code="e">--%%--</subfield><subfield code="j">n</subfield><subfield code="k">Bitte beachten Sie auch die Nutzungshinweise auf unserer Homepage</subfield><subfield code="y">l01</subfield><subfield code="z">23-01-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2045</subfield><subfield code="1">01</subfield><subfield code="x">DE-Mit1</subfield><subfield code="b">4250668282</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">--%%--</subfield><subfield code="e">--%%--</subfield><subfield code="j">n</subfield><subfield code="k">Volltext - Campuslizenz</subfield><subfield code="y">l01</subfield><subfield code="z">23-01-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2050</subfield><subfield code="1">01</subfield><subfield code="x">DE-Zi4</subfield><subfield code="b">4250668290</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">--%%--</subfield><subfield code="e">--%%--</subfield><subfield code="j">n</subfield><subfield code="k">Elektronischer Volltext - Campuslizenz</subfield><subfield code="y">l01</subfield><subfield code="z">23-01-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2055</subfield><subfield code="1">01</subfield><subfield code="x">DE-840</subfield><subfield code="b">440084532X</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">DeGruyter Technik Informatik</subfield><subfield code="e">--%%--</subfield><subfield code="j">n</subfield><subfield code="k">Campuslizenz HHN</subfield><subfield code="y">l01</subfield><subfield code="z">02-11-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2059</subfield><subfield code="1">01</subfield><subfield code="x">DE-Kon4</subfield><subfield code="b">4250654362</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">eBook deGruyter</subfield><subfield code="e">--%%--</subfield><subfield code="j">n</subfield><subfield code="k">Elektronischer Volltext - Zugang über WWW</subfield><subfield code="y">l01</subfield><subfield code="z">23-01-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2063</subfield><subfield code="1">01</subfield><subfield code="x">DE-951</subfield><subfield code="b">4250654370</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">De Gruyter (Open Access)</subfield><subfield code="e">--%%--</subfield><subfield code="j">n</subfield><subfield code="k">Elektronischer Volltext - Campuslizenz</subfield><subfield code="y">l01</subfield><subfield code="z">23-01-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2064</subfield><subfield code="1">01</subfield><subfield code="x">DE-953</subfield><subfield code="b">4250654389</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">eBook OA</subfield><subfield code="e">--%%--</subfield><subfield code="j">n</subfield><subfield code="k">Elektronischer Volltext - Open Access</subfield><subfield code="y">l01</subfield><subfield code="z">23-01-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2065</subfield><subfield code="1">01</subfield><subfield code="x">DE-958</subfield><subfield code="b">4250654397</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">eBook DeGruyter</subfield><subfield code="e">--%%--</subfield><subfield code="j">n</subfield><subfield code="k">Elektronischer Volltext - Campuslizenz</subfield><subfield code="y">l01</subfield><subfield code="z">23-01-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2068</subfield><subfield code="1">01</subfield><subfield code="x">DE-Fn1</subfield><subfield code="b">4250654400</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">eBook DeGruyter</subfield><subfield code="e">--%%--</subfield><subfield code="j">n</subfield><subfield code="y">l01</subfield><subfield code="z">23-01-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2089</subfield><subfield code="1">01</subfield><subfield code="x">DE-540</subfield><subfield code="b">4250668304</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">--%%--</subfield><subfield code="e">p</subfield><subfield code="j">n</subfield><subfield code="k">Elektronischer Volltext - Open Access</subfield><subfield code="y">l01</subfield><subfield code="z">23-01-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2111</subfield><subfield code="1">01</subfield><subfield code="x">DE-944</subfield><subfield code="b">4250654419</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">E-Book De Gruyter</subfield><subfield code="e">--%%--</subfield><subfield code="j">n</subfield><subfield code="k">Elektronischer Volltext - Campuslizenz</subfield><subfield code="y">l01</subfield><subfield code="z">23-01-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2112</subfield><subfield code="1">01</subfield><subfield code="x">DE-1033</subfield><subfield code="b">4352158925</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">deGruyter OA</subfield><subfield code="e">--%%--</subfield><subfield code="j">n</subfield><subfield code="y">l01</subfield><subfield code="z">11-07-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2118</subfield><subfield code="1">01</subfield><subfield code="x">DE-Mh35</subfield><subfield code="b">4250654427</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">--%%--</subfield><subfield code="e">--%%--</subfield><subfield code="j">n</subfield><subfield code="k">Elektronischer Volltext - Campuslizenz</subfield><subfield code="y">l01</subfield><subfield code="z">23-01-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2119</subfield><subfield code="1">01</subfield><subfield code="x">DE-943</subfield><subfield code="b">434009661X</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">eBook DeGruyter Oldenbourg</subfield><subfield code="e">--%%--</subfield><subfield code="j">n</subfield><subfield code="k">Elektronischer Volltext - Campuslizenz</subfield><subfield code="y">l01</subfield><subfield code="z">17-06-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2129</subfield><subfield code="1">01</subfield><subfield code="x">DE-Ofb1</subfield><subfield code="b">4255706654</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">E-Book DeGruyter</subfield><subfield code="e">--%%--</subfield><subfield code="j">n</subfield><subfield code="y">l01</subfield><subfield code="z">31-01-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2143</subfield><subfield code="1">01</subfield><subfield code="x">DE-Rav1</subfield><subfield code="b">4250654435</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">E-Book OA</subfield><subfield code="e">--%%--</subfield><subfield code="j">n</subfield><subfield code="y">l01</subfield><subfield code="z">23-01-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2152</subfield><subfield code="1">01</subfield><subfield code="x">DE-941</subfield><subfield code="b">4250654443</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">E-Book deGruyter</subfield><subfield code="e">--%%--</subfield><subfield code="j">n</subfield><subfield code="k">Elektronischer Volltext - Campuslizenz</subfield><subfield code="y">l01</subfield><subfield code="z">23-01-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2153</subfield><subfield code="1">01</subfield><subfield code="x">DE-Hed2</subfield><subfield code="b">4250654451</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">e-Book De Gruyter OA</subfield><subfield code="e">--%%--</subfield><subfield code="j">n</subfield><subfield code="k">Elektronischer Volltext - Open Access</subfield><subfield code="y">l01</subfield><subfield code="z">23-01-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2159</subfield><subfield code="1">01</subfield><subfield code="x">DE-984</subfield><subfield code="b">425065446X</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">eBook OA DeGruyter</subfield><subfield code="e">--%%--</subfield><subfield code="j">n</subfield><subfield code="y">l01</subfield><subfield code="z">23-01-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2161</subfield><subfield code="1">01</subfield><subfield code="x">DE-D117</subfield><subfield code="b">4250668312</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">--%%--</subfield><subfield code="e">--%%--</subfield><subfield code="j">--%%--</subfield><subfield code="k">Elektronischer Volltext-Open Access</subfield><subfield code="y">l01</subfield><subfield code="z">23-01-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2206</subfield><subfield code="1">01</subfield><subfield code="x">DE-1141</subfield><subfield code="b">4250668320</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">--%%--</subfield><subfield code="e">--%%--</subfield><subfield code="j">--%%--</subfield><subfield code="y">l01</subfield><subfield code="z">23-01-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2403</subfield><subfield code="1">01</subfield><subfield code="x">DE-LFER</subfield><subfield code="b">4268525769</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">--%%--</subfield><subfield code="e">n</subfield><subfield code="j">--%%--</subfield><subfield code="y">l01</subfield><subfield code="z">08-02-23</subfield></datafield><datafield tag="981" ind1=" " ind2=" "><subfield code="2">22</subfield><subfield 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