Sublinear Computation Paradigm : Algorithmic Revolution in the Big Data Era
This open access book gives an overview of cutting-edge work on a new paradigm called the “sublinear computation paradigm,” which was proposed in the large multiyear academic research project “Foundations of Innovative Algorithms for Big Data.” That project ran from October 2014 to March 2020, in Ja...
Ausführliche Beschreibung
Autor*in: |
Katoh, Naoki [verfasserIn] Higashikawa, Yuya [herausgeberIn] Ito, Hiro [herausgeberIn] Nagao, Atsuki [herausgeberIn] Shibuya, Tetsuo [herausgeberIn] Sljoka, Adnan [herausgeberIn] Tanaka, Kazuyuki [herausgeberIn] Uno, Yushi [herausgeberIn] |
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Format: |
E-Book |
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Sprache: |
Englisch |
Erschienen: |
Erscheinungsort nicht ermittelbar: Springer Nature ; 2022 |
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Rechteinformationen: |
Open Access Creative Commons ; https://creativecommons.org/licenses/by/4.0 |
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Schlagwörter: |
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Umfang: |
1 Online-Ressource (410 p.) |
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Links: | |
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ISBN: |
978-981-16-4095-7 |
Katalog-ID: |
1836504187 |
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9789811640957 978-981-16-4095-7 978 (DE-627)1836504187 (DE-599)KEP077632109 (OCoLC)1302642725 (OAPEN)51501 (EBP)077632109 DE-627 eng DE-627 rda eng UMB bicssc PBKS bicssc Katoh, Naoki verfasserin aut Sublinear Computation Paradigm Algorithmic Revolution in the Big Data Era [Erscheinungsort nicht ermittelbar] Springer Nature 2022 1 Online-Ressource (410 p.) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Open Access Unrestricted online access star This open access book gives an overview of cutting-edge work on a new paradigm called the “sublinear computation paradigm,” which was proposed in the large multiyear academic research project “Foundations of Innovative Algorithms for Big Data.” That project ran from October 2014 to March 2020, in Japan. To handle the unprecedented explosion of big data sets in research, industry, and other areas of society, there is an urgent need to develop novel methods and approaches for big data analysis. To meet this need, innovative changes in algorithm theory for big data are being pursued. For example, polynomial-time algorithms have thus far been regarded as “fast,” but if a quadratic-time algorithm is applied to a petabyte-scale or larger big data set, problems are encountered in terms of computational resources or running time. To deal with this critical computational and algorithmic bottleneck, linear, sublinear, and constant time algorithms are required. The sublinear computation paradigm is proposed here in order to support innovation in the big data era. A foundation of innovative algorithms has been created by developing computational procedures, data structures, and modelling techniques for big data. The project is organized into three teams that focus on sublinear algorithms, sublinear data structures, and sublinear modelling. The work has provided high-level academic research results of strong computational and algorithmic interest, which are presented in this book. The book consists of five parts: Part I, which consists of a single chapter on the concept of the sublinear computation paradigm; Parts II, III, and IV review results on sublinear algorithms, sublinear data structures, and sublinear modelling, respectively; Part V presents application results. The information presented here will inspire the researchers who work in the field of modern algorithms Creative Commons https://creativecommons.org/licenses/by/4.0 cc English Algorithms & data structures Numerical analysis Algorithms and data structures Higashikawa, Yuya herausgeberin edt Ito, Hiro herausgeberin edt Nagao, Atsuki herausgeberin edt Shibuya, Tetsuo herausgeberin edt Sljoka, Adnan herausgeberin edt Tanaka, Kazuyuki herausgeberin edt Uno, Yushi herausgeberin edt https://library.oapen.org/bitstream/id/25d80dc5-b29d-436f-bd10-7902d0fcf7fe/9789811640957.pdf X:OAPEN Verlag kostenfrei https://library.oapen.org/handle/20.500.12657/51501 X:OAPEN Verlag kostenfrei ZDB-94-OAL GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP GBV_ILN_23 ISIL_DE-830 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_63 ISIL_DE-Wim2 GBV_ILN_65 ISIL_DE-3 GBV_ILN_70 ISIL_DE-89 GBV_ILN_72 ISIL_DE-35 GBV_ILN_95 ISIL_DE-542 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_136 ISIL_DE-Wis1 GBV_ILN_147 ISIL_DE-Fl3 GBV_ILN_161 ISIL_DE-960 GBV_ILN_187 ISIL_DE-Ki95 GBV_ILN_213 ISIL_DE-551 GBV_ILN_230 ISIL_DE-552 GBV_ILN_283 ISIL_DE-Ha163 GBV_ILN_293 ISIL_DE-960-3 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_603 ISIL_DE-B1556 GBV_ILN_808 GBV_ILN_2403 ISIL_DE-LFER BO 22 01 0018 4280160139 OLR-ZDB-94-OAL OAPEN Library zu 01-03-23 23 01 0830 4280712395 OLR-OAPEN f z 01-03-23 30 01 0104 428107337X GBV-OAPEN z 01-03-23 31 01 0027 4280354901 z 01-03-23 34 01 3551 427891041X OLR-OAPEN zi002 01-03-23 39 01 0547 4281264779 GBV-OAPEN ke 01-03-23 40 01 0007 4279978905 OLR-OAPEN xsn 01-03-23 63 01 3401 4281647910 E-Books LF GBV-OAPEN z 01-03-23 65 01 0003 4281897275 OLR-OAPEN z 01-03-23 70 01 0089 4280533342 OLR-OAPEN-OA OAPEN Online Library Open Access eBook z 01-03-23 72 01 0035 4278733070 OLR-OAPEN-OA OAPEN Online Library Open Access eBook z 01-03-23 95 01 3095 4343260739 OLR-OAL Vervielfältigungen (z.B. 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Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 01-03-23 161 01 0960 4278167091 OLR-OAPEN OAPEN Online Library Open Access eBook z 28-02-23 187 01 3520 4278551576 JSTOR Open Access eBook z 28-02-23 213 01 0551 4279265585 OLR-OAPEN OAPEN Online Library Open Access eBook z 01-03-23 230 01 0552 4279442762 OLR-OAPEN OAPEN Online Library Open Access eBook z 01-03-23 283 01 3283 4279801673 OLR-OAL z 01-03-23 293 01 3293 4278345933 OLR-OAPEN OAPEN Online Library Open Access eBook z 28-02-23 370 01 4370 4279088152 OLR-FREE Kostenloser Zugriff z 01-03-23 603 01 4603 4277988873 OLR-OAPEN Bitte beachten Sie die Nutzungsbedingungen und Copyright-Bestimmungen des Verlages/Herausgebers. z 28-02-23 808 01 4808 428089146X OLR-OAPEN OAPEN Library zg 01-03-23 2403 01 DE-LFER 4308600863 00 --%%-- --%%-- n --%%-- l01 13-04-23 22 01 0018 Volltextzugang https://library.oapen.org/handle/20.500.12657/51501 23 01 0830 https://library.oapen.org/handle/20.500.12657/51501 30 01 0104 Open Access https://library.oapen.org/handle/20.500.12657/51501 31 01 0027 eBook GBV-OAPEN https://library.oapen.org/handle/20.500.12657/51501 34 01 3551 OpenAccess https://library.oapen.org/handle/20.500.12657/51501 40 01 0007 Volltext, Open Access https://library.oapen.org/handle/20.500.12657/51501 63 01 3401 E-Book https://library.oapen.org/handle/20.500.12657/51501 65 01 0003 Open Access https://library.oapen.org/handle/20.500.12657/51501 65 01 0003 Dieser Titel ist Teil einer Datenbank http://www.bibliothek.uni-regensburg.de/dbinfo/detail.php?titel_id=10728&bib_id=ulb_hal 70 01 0089 https://library.oapen.org/handle/20.500.12657/51501 LF 72 01 0035 https://library.oapen.org/handle/20.500.12657/51501 95 01 3095 https://library.oapen.org/handle/20.500.12657/51501 110 01 3110 Open Access https://library.oapen.org/handle/20.500.12657/51501 136 01 3526 Open Access https://library.oapen.org/handle/20.500.12657/51501 147 01 3528 https://library.oapen.org/handle/20.500.12657/51501 161 01 0960 https://library.oapen.org/handle/20.500.12657/51501 LF 187 01 3520 https://library.oapen.org/handle/20.500.12657/51501 213 01 0551 https://library.oapen.org/handle/20.500.12657/51501 230 01 0552 https://library.oapen.org/handle/20.500.12657/51501 283 01 3283 https://library.oapen.org/handle/20.500.12657/51501 293 01 3293 https://library.oapen.org/handle/20.500.12657/51501 LF 370 01 4370 https://library.oapen.org/handle/20.500.12657/51501 603 01 4603 https://library.oapen.org/handle/20.500.12657/51501 808 01 4808 Volltextzugang https://library.oapen.org/handle/20.500.12657/51501 2403 01 DE-LFER https://library.oapen.org/bitstream/id/25d80dc5-b29d-436f-bd10-7902d0fcf7fe/9789811640957.pdf 31 01 0027 00 eBook GBV-OAPEN 22 01 0018 OLR-ZDB-94-OAL 23 01 0830 OLR-OAPEN 30 01 0104 GBV-OAPEN 34 01 3551 OLR-OAPEN 39 01 0547 GBV-OAPEN 39 01 0547 LF 40 01 0007 OLR-OAPEN 63 01 3401 E-Books LF GBV-OAPEN 65 01 0003 OLR-OAPEN 70 01 0089 OLR-OAPEN-OA 72 01 0035 OLR-OAPEN-OA 95 01 3095 OLR-OAL 110 01 3110 OLR-GBV-OAPEN 136 01 3526 OLR-OAPEN 147 01 3528 OLR-OAPEN 161 01 0960 OLR-OAPEN 213 01 0551 OLR-OAPEN 230 01 0552 OLR-OAPEN 283 01 3283 OLR-OAL 293 01 3293 OLR-OAPEN 370 01 4370 OLR-FREE 370 01 4370 olr-ebook GBV-OAPEN 603 01 4603 OLR-OAPEN 808 01 4808 OLR-OAPEN |
spelling |
9789811640957 978-981-16-4095-7 978 (DE-627)1836504187 (DE-599)KEP077632109 (OCoLC)1302642725 (OAPEN)51501 (EBP)077632109 DE-627 eng DE-627 rda eng UMB bicssc PBKS bicssc Katoh, Naoki verfasserin aut Sublinear Computation Paradigm Algorithmic Revolution in the Big Data Era [Erscheinungsort nicht ermittelbar] Springer Nature 2022 1 Online-Ressource (410 p.) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Open Access Unrestricted online access star This open access book gives an overview of cutting-edge work on a new paradigm called the “sublinear computation paradigm,” which was proposed in the large multiyear academic research project “Foundations of Innovative Algorithms for Big Data.” That project ran from October 2014 to March 2020, in Japan. To handle the unprecedented explosion of big data sets in research, industry, and other areas of society, there is an urgent need to develop novel methods and approaches for big data analysis. To meet this need, innovative changes in algorithm theory for big data are being pursued. For example, polynomial-time algorithms have thus far been regarded as “fast,” but if a quadratic-time algorithm is applied to a petabyte-scale or larger big data set, problems are encountered in terms of computational resources or running time. To deal with this critical computational and algorithmic bottleneck, linear, sublinear, and constant time algorithms are required. The sublinear computation paradigm is proposed here in order to support innovation in the big data era. A foundation of innovative algorithms has been created by developing computational procedures, data structures, and modelling techniques for big data. The project is organized into three teams that focus on sublinear algorithms, sublinear data structures, and sublinear modelling. The work has provided high-level academic research results of strong computational and algorithmic interest, which are presented in this book. The book consists of five parts: Part I, which consists of a single chapter on the concept of the sublinear computation paradigm; Parts II, III, and IV review results on sublinear algorithms, sublinear data structures, and sublinear modelling, respectively; Part V presents application results. The information presented here will inspire the researchers who work in the field of modern algorithms Creative Commons https://creativecommons.org/licenses/by/4.0 cc English Algorithms & data structures Numerical analysis Algorithms and data structures Higashikawa, Yuya herausgeberin edt Ito, Hiro herausgeberin edt Nagao, Atsuki herausgeberin edt Shibuya, Tetsuo herausgeberin edt Sljoka, Adnan herausgeberin edt Tanaka, Kazuyuki herausgeberin edt Uno, Yushi herausgeberin edt https://library.oapen.org/bitstream/id/25d80dc5-b29d-436f-bd10-7902d0fcf7fe/9789811640957.pdf X:OAPEN Verlag kostenfrei https://library.oapen.org/handle/20.500.12657/51501 X:OAPEN Verlag kostenfrei ZDB-94-OAL GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP GBV_ILN_23 ISIL_DE-830 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_63 ISIL_DE-Wim2 GBV_ILN_65 ISIL_DE-3 GBV_ILN_70 ISIL_DE-89 GBV_ILN_72 ISIL_DE-35 GBV_ILN_95 ISIL_DE-542 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_136 ISIL_DE-Wis1 GBV_ILN_147 ISIL_DE-Fl3 GBV_ILN_161 ISIL_DE-960 GBV_ILN_187 ISIL_DE-Ki95 GBV_ILN_213 ISIL_DE-551 GBV_ILN_230 ISIL_DE-552 GBV_ILN_283 ISIL_DE-Ha163 GBV_ILN_293 ISIL_DE-960-3 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_603 ISIL_DE-B1556 GBV_ILN_808 GBV_ILN_2403 ISIL_DE-LFER BO 22 01 0018 4280160139 OLR-ZDB-94-OAL OAPEN Library zu 01-03-23 23 01 0830 4280712395 OLR-OAPEN f z 01-03-23 30 01 0104 428107337X GBV-OAPEN z 01-03-23 31 01 0027 4280354901 z 01-03-23 34 01 3551 427891041X OLR-OAPEN zi002 01-03-23 39 01 0547 4281264779 GBV-OAPEN ke 01-03-23 40 01 0007 4279978905 OLR-OAPEN xsn 01-03-23 63 01 3401 4281647910 E-Books LF GBV-OAPEN z 01-03-23 65 01 0003 4281897275 OLR-OAPEN z 01-03-23 70 01 0089 4280533342 OLR-OAPEN-OA OAPEN Online Library Open Access eBook z 01-03-23 72 01 0035 4278733070 OLR-OAPEN-OA OAPEN Online Library Open Access eBook z 01-03-23 95 01 3095 4343260739 OLR-OAL 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. z 24-06-23 110 01 3110 4281450076 OLR-GBV-OAPEN Open Access z 01-03-23 136 01 3526 4279624380 OLR-OAPEN z 01-03-23 147 01 3528 4282095938 OLR-OAPEN frei verfügbar für Europa-Universität Flensburg, Hochschule Flensburg und Zentrale Hochschulbibliothek 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. z 01-03-23 161 01 0960 4278167091 OLR-OAPEN OAPEN Online Library Open Access eBook z 28-02-23 187 01 3520 4278551576 JSTOR Open Access eBook z 28-02-23 213 01 0551 4279265585 OLR-OAPEN OAPEN Online Library Open Access eBook z 01-03-23 230 01 0552 4279442762 OLR-OAPEN OAPEN Online Library Open Access eBook z 01-03-23 283 01 3283 4279801673 OLR-OAL z 01-03-23 293 01 3293 4278345933 OLR-OAPEN OAPEN Online Library Open Access eBook z 28-02-23 370 01 4370 4279088152 OLR-FREE Kostenloser Zugriff z 01-03-23 603 01 4603 4277988873 OLR-OAPEN Bitte beachten Sie die Nutzungsbedingungen und Copyright-Bestimmungen des Verlages/Herausgebers. z 28-02-23 808 01 4808 428089146X OLR-OAPEN OAPEN Library zg 01-03-23 2403 01 DE-LFER 4308600863 00 --%%-- --%%-- n --%%-- l01 13-04-23 22 01 0018 Volltextzugang https://library.oapen.org/handle/20.500.12657/51501 23 01 0830 https://library.oapen.org/handle/20.500.12657/51501 30 01 0104 Open Access https://library.oapen.org/handle/20.500.12657/51501 31 01 0027 eBook GBV-OAPEN https://library.oapen.org/handle/20.500.12657/51501 34 01 3551 OpenAccess https://library.oapen.org/handle/20.500.12657/51501 40 01 0007 Volltext, Open Access https://library.oapen.org/handle/20.500.12657/51501 63 01 3401 E-Book https://library.oapen.org/handle/20.500.12657/51501 65 01 0003 Open Access https://library.oapen.org/handle/20.500.12657/51501 65 01 0003 Dieser Titel ist Teil einer Datenbank http://www.bibliothek.uni-regensburg.de/dbinfo/detail.php?titel_id=10728&bib_id=ulb_hal 70 01 0089 https://library.oapen.org/handle/20.500.12657/51501 LF 72 01 0035 https://library.oapen.org/handle/20.500.12657/51501 95 01 3095 https://library.oapen.org/handle/20.500.12657/51501 110 01 3110 Open Access https://library.oapen.org/handle/20.500.12657/51501 136 01 3526 Open Access https://library.oapen.org/handle/20.500.12657/51501 147 01 3528 https://library.oapen.org/handle/20.500.12657/51501 161 01 0960 https://library.oapen.org/handle/20.500.12657/51501 LF 187 01 3520 https://library.oapen.org/handle/20.500.12657/51501 213 01 0551 https://library.oapen.org/handle/20.500.12657/51501 230 01 0552 https://library.oapen.org/handle/20.500.12657/51501 283 01 3283 https://library.oapen.org/handle/20.500.12657/51501 293 01 3293 https://library.oapen.org/handle/20.500.12657/51501 LF 370 01 4370 https://library.oapen.org/handle/20.500.12657/51501 603 01 4603 https://library.oapen.org/handle/20.500.12657/51501 808 01 4808 Volltextzugang https://library.oapen.org/handle/20.500.12657/51501 2403 01 DE-LFER https://library.oapen.org/bitstream/id/25d80dc5-b29d-436f-bd10-7902d0fcf7fe/9789811640957.pdf 31 01 0027 00 eBook GBV-OAPEN 22 01 0018 OLR-ZDB-94-OAL 23 01 0830 OLR-OAPEN 30 01 0104 GBV-OAPEN 34 01 3551 OLR-OAPEN 39 01 0547 GBV-OAPEN 39 01 0547 LF 40 01 0007 OLR-OAPEN 63 01 3401 E-Books LF GBV-OAPEN 65 01 0003 OLR-OAPEN 70 01 0089 OLR-OAPEN-OA 72 01 0035 OLR-OAPEN-OA 95 01 3095 OLR-OAL 110 01 3110 OLR-GBV-OAPEN 136 01 3526 OLR-OAPEN 147 01 3528 OLR-OAPEN 161 01 0960 OLR-OAPEN 213 01 0551 OLR-OAPEN 230 01 0552 OLR-OAPEN 283 01 3283 OLR-OAL 293 01 3293 OLR-OAPEN 370 01 4370 OLR-FREE 370 01 4370 olr-ebook GBV-OAPEN 603 01 4603 OLR-OAPEN 808 01 4808 OLR-OAPEN |
allfields_unstemmed |
9789811640957 978-981-16-4095-7 978 (DE-627)1836504187 (DE-599)KEP077632109 (OCoLC)1302642725 (OAPEN)51501 (EBP)077632109 DE-627 eng DE-627 rda eng UMB bicssc PBKS bicssc Katoh, Naoki verfasserin aut Sublinear Computation Paradigm Algorithmic Revolution in the Big Data Era [Erscheinungsort nicht ermittelbar] Springer Nature 2022 1 Online-Ressource (410 p.) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Open Access Unrestricted online access star This open access book gives an overview of cutting-edge work on a new paradigm called the “sublinear computation paradigm,” which was proposed in the large multiyear academic research project “Foundations of Innovative Algorithms for Big Data.” That project ran from October 2014 to March 2020, in Japan. To handle the unprecedented explosion of big data sets in research, industry, and other areas of society, there is an urgent need to develop novel methods and approaches for big data analysis. To meet this need, innovative changes in algorithm theory for big data are being pursued. For example, polynomial-time algorithms have thus far been regarded as “fast,” but if a quadratic-time algorithm is applied to a petabyte-scale or larger big data set, problems are encountered in terms of computational resources or running time. To deal with this critical computational and algorithmic bottleneck, linear, sublinear, and constant time algorithms are required. The sublinear computation paradigm is proposed here in order to support innovation in the big data era. A foundation of innovative algorithms has been created by developing computational procedures, data structures, and modelling techniques for big data. The project is organized into three teams that focus on sublinear algorithms, sublinear data structures, and sublinear modelling. The work has provided high-level academic research results of strong computational and algorithmic interest, which are presented in this book. The book consists of five parts: Part I, which consists of a single chapter on the concept of the sublinear computation paradigm; Parts II, III, and IV review results on sublinear algorithms, sublinear data structures, and sublinear modelling, respectively; Part V presents application results. The information presented here will inspire the researchers who work in the field of modern algorithms Creative Commons https://creativecommons.org/licenses/by/4.0 cc English Algorithms & data structures Numerical analysis Algorithms and data structures Higashikawa, Yuya herausgeberin edt Ito, Hiro herausgeberin edt Nagao, Atsuki herausgeberin edt Shibuya, Tetsuo herausgeberin edt Sljoka, Adnan herausgeberin edt Tanaka, Kazuyuki herausgeberin edt Uno, Yushi herausgeberin edt https://library.oapen.org/bitstream/id/25d80dc5-b29d-436f-bd10-7902d0fcf7fe/9789811640957.pdf X:OAPEN Verlag kostenfrei https://library.oapen.org/handle/20.500.12657/51501 X:OAPEN Verlag kostenfrei ZDB-94-OAL GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP GBV_ILN_23 ISIL_DE-830 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_63 ISIL_DE-Wim2 GBV_ILN_65 ISIL_DE-3 GBV_ILN_70 ISIL_DE-89 GBV_ILN_72 ISIL_DE-35 GBV_ILN_95 ISIL_DE-542 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_136 ISIL_DE-Wis1 GBV_ILN_147 ISIL_DE-Fl3 GBV_ILN_161 ISIL_DE-960 GBV_ILN_187 ISIL_DE-Ki95 GBV_ILN_213 ISIL_DE-551 GBV_ILN_230 ISIL_DE-552 GBV_ILN_283 ISIL_DE-Ha163 GBV_ILN_293 ISIL_DE-960-3 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_603 ISIL_DE-B1556 GBV_ILN_808 GBV_ILN_2403 ISIL_DE-LFER BO 22 01 0018 4280160139 OLR-ZDB-94-OAL OAPEN Library zu 01-03-23 23 01 0830 4280712395 OLR-OAPEN f z 01-03-23 30 01 0104 428107337X GBV-OAPEN z 01-03-23 31 01 0027 4280354901 z 01-03-23 34 01 3551 427891041X OLR-OAPEN zi002 01-03-23 39 01 0547 4281264779 GBV-OAPEN ke 01-03-23 40 01 0007 4279978905 OLR-OAPEN xsn 01-03-23 63 01 3401 4281647910 E-Books LF GBV-OAPEN z 01-03-23 65 01 0003 4281897275 OLR-OAPEN z 01-03-23 70 01 0089 4280533342 OLR-OAPEN-OA OAPEN Online Library Open Access eBook z 01-03-23 72 01 0035 4278733070 OLR-OAPEN-OA OAPEN Online Library Open Access eBook z 01-03-23 95 01 3095 4343260739 OLR-OAL 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. z 24-06-23 110 01 3110 4281450076 OLR-GBV-OAPEN Open Access z 01-03-23 136 01 3526 4279624380 OLR-OAPEN z 01-03-23 147 01 3528 4282095938 OLR-OAPEN frei verfügbar für Europa-Universität Flensburg, Hochschule Flensburg und Zentrale Hochschulbibliothek 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. z 01-03-23 161 01 0960 4278167091 OLR-OAPEN OAPEN Online Library Open Access eBook z 28-02-23 187 01 3520 4278551576 JSTOR Open Access eBook z 28-02-23 213 01 0551 4279265585 OLR-OAPEN OAPEN Online Library Open Access eBook z 01-03-23 230 01 0552 4279442762 OLR-OAPEN OAPEN Online Library Open Access eBook z 01-03-23 283 01 3283 4279801673 OLR-OAL z 01-03-23 293 01 3293 4278345933 OLR-OAPEN OAPEN Online Library Open Access eBook z 28-02-23 370 01 4370 4279088152 OLR-FREE Kostenloser Zugriff z 01-03-23 603 01 4603 4277988873 OLR-OAPEN Bitte beachten Sie die Nutzungsbedingungen und Copyright-Bestimmungen des Verlages/Herausgebers. z 28-02-23 808 01 4808 428089146X OLR-OAPEN OAPEN Library zg 01-03-23 2403 01 DE-LFER 4308600863 00 --%%-- --%%-- n --%%-- l01 13-04-23 22 01 0018 Volltextzugang https://library.oapen.org/handle/20.500.12657/51501 23 01 0830 https://library.oapen.org/handle/20.500.12657/51501 30 01 0104 Open Access https://library.oapen.org/handle/20.500.12657/51501 31 01 0027 eBook GBV-OAPEN https://library.oapen.org/handle/20.500.12657/51501 34 01 3551 OpenAccess https://library.oapen.org/handle/20.500.12657/51501 40 01 0007 Volltext, Open Access https://library.oapen.org/handle/20.500.12657/51501 63 01 3401 E-Book https://library.oapen.org/handle/20.500.12657/51501 65 01 0003 Open Access https://library.oapen.org/handle/20.500.12657/51501 65 01 0003 Dieser Titel ist Teil einer Datenbank http://www.bibliothek.uni-regensburg.de/dbinfo/detail.php?titel_id=10728&bib_id=ulb_hal 70 01 0089 https://library.oapen.org/handle/20.500.12657/51501 LF 72 01 0035 https://library.oapen.org/handle/20.500.12657/51501 95 01 3095 https://library.oapen.org/handle/20.500.12657/51501 110 01 3110 Open Access https://library.oapen.org/handle/20.500.12657/51501 136 01 3526 Open Access https://library.oapen.org/handle/20.500.12657/51501 147 01 3528 https://library.oapen.org/handle/20.500.12657/51501 161 01 0960 https://library.oapen.org/handle/20.500.12657/51501 LF 187 01 3520 https://library.oapen.org/handle/20.500.12657/51501 213 01 0551 https://library.oapen.org/handle/20.500.12657/51501 230 01 0552 https://library.oapen.org/handle/20.500.12657/51501 283 01 3283 https://library.oapen.org/handle/20.500.12657/51501 293 01 3293 https://library.oapen.org/handle/20.500.12657/51501 LF 370 01 4370 https://library.oapen.org/handle/20.500.12657/51501 603 01 4603 https://library.oapen.org/handle/20.500.12657/51501 808 01 4808 Volltextzugang https://library.oapen.org/handle/20.500.12657/51501 2403 01 DE-LFER https://library.oapen.org/bitstream/id/25d80dc5-b29d-436f-bd10-7902d0fcf7fe/9789811640957.pdf 31 01 0027 00 eBook GBV-OAPEN 22 01 0018 OLR-ZDB-94-OAL 23 01 0830 OLR-OAPEN 30 01 0104 GBV-OAPEN 34 01 3551 OLR-OAPEN 39 01 0547 GBV-OAPEN 39 01 0547 LF 40 01 0007 OLR-OAPEN 63 01 3401 E-Books LF GBV-OAPEN 65 01 0003 OLR-OAPEN 70 01 0089 OLR-OAPEN-OA 72 01 0035 OLR-OAPEN-OA 95 01 3095 OLR-OAL 110 01 3110 OLR-GBV-OAPEN 136 01 3526 OLR-OAPEN 147 01 3528 OLR-OAPEN 161 01 0960 OLR-OAPEN 213 01 0551 OLR-OAPEN 230 01 0552 OLR-OAPEN 283 01 3283 OLR-OAL 293 01 3293 OLR-OAPEN 370 01 4370 OLR-FREE 370 01 4370 olr-ebook GBV-OAPEN 603 01 4603 OLR-OAPEN 808 01 4808 OLR-OAPEN |
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9789811640957 978-981-16-4095-7 978 (DE-627)1836504187 (DE-599)KEP077632109 (OCoLC)1302642725 (OAPEN)51501 (EBP)077632109 DE-627 eng DE-627 rda eng UMB bicssc PBKS bicssc Katoh, Naoki verfasserin aut Sublinear Computation Paradigm Algorithmic Revolution in the Big Data Era [Erscheinungsort nicht ermittelbar] Springer Nature 2022 1 Online-Ressource (410 p.) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Open Access Unrestricted online access star This open access book gives an overview of cutting-edge work on a new paradigm called the “sublinear computation paradigm,” which was proposed in the large multiyear academic research project “Foundations of Innovative Algorithms for Big Data.” That project ran from October 2014 to March 2020, in Japan. To handle the unprecedented explosion of big data sets in research, industry, and other areas of society, there is an urgent need to develop novel methods and approaches for big data analysis. To meet this need, innovative changes in algorithm theory for big data are being pursued. For example, polynomial-time algorithms have thus far been regarded as “fast,” but if a quadratic-time algorithm is applied to a petabyte-scale or larger big data set, problems are encountered in terms of computational resources or running time. To deal with this critical computational and algorithmic bottleneck, linear, sublinear, and constant time algorithms are required. The sublinear computation paradigm is proposed here in order to support innovation in the big data era. A foundation of innovative algorithms has been created by developing computational procedures, data structures, and modelling techniques for big data. The project is organized into three teams that focus on sublinear algorithms, sublinear data structures, and sublinear modelling. The work has provided high-level academic research results of strong computational and algorithmic interest, which are presented in this book. The book consists of five parts: Part I, which consists of a single chapter on the concept of the sublinear computation paradigm; Parts II, III, and IV review results on sublinear algorithms, sublinear data structures, and sublinear modelling, respectively; Part V presents application results. The information presented here will inspire the researchers who work in the field of modern algorithms Creative Commons https://creativecommons.org/licenses/by/4.0 cc English Algorithms & data structures Numerical analysis Algorithms and data structures Higashikawa, Yuya herausgeberin edt Ito, Hiro herausgeberin edt Nagao, Atsuki herausgeberin edt Shibuya, Tetsuo herausgeberin edt Sljoka, Adnan herausgeberin edt Tanaka, Kazuyuki herausgeberin edt Uno, Yushi herausgeberin edt https://library.oapen.org/bitstream/id/25d80dc5-b29d-436f-bd10-7902d0fcf7fe/9789811640957.pdf X:OAPEN Verlag kostenfrei https://library.oapen.org/handle/20.500.12657/51501 X:OAPEN Verlag kostenfrei ZDB-94-OAL GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP GBV_ILN_23 ISIL_DE-830 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_63 ISIL_DE-Wim2 GBV_ILN_65 ISIL_DE-3 GBV_ILN_70 ISIL_DE-89 GBV_ILN_72 ISIL_DE-35 GBV_ILN_95 ISIL_DE-542 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_136 ISIL_DE-Wis1 GBV_ILN_147 ISIL_DE-Fl3 GBV_ILN_161 ISIL_DE-960 GBV_ILN_187 ISIL_DE-Ki95 GBV_ILN_213 ISIL_DE-551 GBV_ILN_230 ISIL_DE-552 GBV_ILN_283 ISIL_DE-Ha163 GBV_ILN_293 ISIL_DE-960-3 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_603 ISIL_DE-B1556 GBV_ILN_808 GBV_ILN_2403 ISIL_DE-LFER BO 22 01 0018 4280160139 OLR-ZDB-94-OAL OAPEN Library zu 01-03-23 23 01 0830 4280712395 OLR-OAPEN f z 01-03-23 30 01 0104 428107337X GBV-OAPEN z 01-03-23 31 01 0027 4280354901 z 01-03-23 34 01 3551 427891041X OLR-OAPEN zi002 01-03-23 39 01 0547 4281264779 GBV-OAPEN ke 01-03-23 40 01 0007 4279978905 OLR-OAPEN xsn 01-03-23 63 01 3401 4281647910 E-Books LF GBV-OAPEN z 01-03-23 65 01 0003 4281897275 OLR-OAPEN z 01-03-23 70 01 0089 4280533342 OLR-OAPEN-OA OAPEN Online Library Open Access eBook z 01-03-23 72 01 0035 4278733070 OLR-OAPEN-OA OAPEN Online Library Open Access eBook z 01-03-23 95 01 3095 4343260739 OLR-OAL 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. z 24-06-23 110 01 3110 4281450076 OLR-GBV-OAPEN Open Access z 01-03-23 136 01 3526 4279624380 OLR-OAPEN z 01-03-23 147 01 3528 4282095938 OLR-OAPEN frei verfügbar für Europa-Universität Flensburg, Hochschule Flensburg und Zentrale Hochschulbibliothek 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. z 01-03-23 161 01 0960 4278167091 OLR-OAPEN OAPEN Online Library Open Access eBook z 28-02-23 187 01 3520 4278551576 JSTOR Open Access eBook z 28-02-23 213 01 0551 4279265585 OLR-OAPEN OAPEN Online Library Open Access eBook z 01-03-23 230 01 0552 4279442762 OLR-OAPEN OAPEN Online Library Open Access eBook z 01-03-23 283 01 3283 4279801673 OLR-OAL z 01-03-23 293 01 3293 4278345933 OLR-OAPEN OAPEN Online Library Open Access eBook z 28-02-23 370 01 4370 4279088152 OLR-FREE Kostenloser Zugriff z 01-03-23 603 01 4603 4277988873 OLR-OAPEN Bitte beachten Sie die Nutzungsbedingungen und Copyright-Bestimmungen des Verlages/Herausgebers. z 28-02-23 808 01 4808 428089146X OLR-OAPEN OAPEN Library zg 01-03-23 2403 01 DE-LFER 4308600863 00 --%%-- --%%-- n --%%-- l01 13-04-23 22 01 0018 Volltextzugang https://library.oapen.org/handle/20.500.12657/51501 23 01 0830 https://library.oapen.org/handle/20.500.12657/51501 30 01 0104 Open Access https://library.oapen.org/handle/20.500.12657/51501 31 01 0027 eBook GBV-OAPEN https://library.oapen.org/handle/20.500.12657/51501 34 01 3551 OpenAccess https://library.oapen.org/handle/20.500.12657/51501 40 01 0007 Volltext, Open Access https://library.oapen.org/handle/20.500.12657/51501 63 01 3401 E-Book https://library.oapen.org/handle/20.500.12657/51501 65 01 0003 Open Access https://library.oapen.org/handle/20.500.12657/51501 65 01 0003 Dieser Titel ist Teil einer Datenbank http://www.bibliothek.uni-regensburg.de/dbinfo/detail.php?titel_id=10728&bib_id=ulb_hal 70 01 0089 https://library.oapen.org/handle/20.500.12657/51501 LF 72 01 0035 https://library.oapen.org/handle/20.500.12657/51501 95 01 3095 https://library.oapen.org/handle/20.500.12657/51501 110 01 3110 Open Access https://library.oapen.org/handle/20.500.12657/51501 136 01 3526 Open Access https://library.oapen.org/handle/20.500.12657/51501 147 01 3528 https://library.oapen.org/handle/20.500.12657/51501 161 01 0960 https://library.oapen.org/handle/20.500.12657/51501 LF 187 01 3520 https://library.oapen.org/handle/20.500.12657/51501 213 01 0551 https://library.oapen.org/handle/20.500.12657/51501 230 01 0552 https://library.oapen.org/handle/20.500.12657/51501 283 01 3283 https://library.oapen.org/handle/20.500.12657/51501 293 01 3293 https://library.oapen.org/handle/20.500.12657/51501 LF 370 01 4370 https://library.oapen.org/handle/20.500.12657/51501 603 01 4603 https://library.oapen.org/handle/20.500.12657/51501 808 01 4808 Volltextzugang https://library.oapen.org/handle/20.500.12657/51501 2403 01 DE-LFER https://library.oapen.org/bitstream/id/25d80dc5-b29d-436f-bd10-7902d0fcf7fe/9789811640957.pdf 31 01 0027 00 eBook GBV-OAPEN 22 01 0018 OLR-ZDB-94-OAL 23 01 0830 OLR-OAPEN 30 01 0104 GBV-OAPEN 34 01 3551 OLR-OAPEN 39 01 0547 GBV-OAPEN 39 01 0547 LF 40 01 0007 OLR-OAPEN 63 01 3401 E-Books LF GBV-OAPEN 65 01 0003 OLR-OAPEN 70 01 0089 OLR-OAPEN-OA 72 01 0035 OLR-OAPEN-OA 95 01 3095 OLR-OAL 110 01 3110 OLR-GBV-OAPEN 136 01 3526 OLR-OAPEN 147 01 3528 OLR-OAPEN 161 01 0960 OLR-OAPEN 213 01 0551 OLR-OAPEN 230 01 0552 OLR-OAPEN 283 01 3283 OLR-OAL 293 01 3293 OLR-OAPEN 370 01 4370 OLR-FREE 370 01 4370 olr-ebook GBV-OAPEN 603 01 4603 OLR-OAPEN 808 01 4808 OLR-OAPEN |
allfieldsSound |
9789811640957 978-981-16-4095-7 978 (DE-627)1836504187 (DE-599)KEP077632109 (OCoLC)1302642725 (OAPEN)51501 (EBP)077632109 DE-627 eng DE-627 rda eng UMB bicssc PBKS bicssc Katoh, Naoki verfasserin aut Sublinear Computation Paradigm Algorithmic Revolution in the Big Data Era [Erscheinungsort nicht ermittelbar] Springer Nature 2022 1 Online-Ressource (410 p.) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Open Access Unrestricted online access star This open access book gives an overview of cutting-edge work on a new paradigm called the “sublinear computation paradigm,” which was proposed in the large multiyear academic research project “Foundations of Innovative Algorithms for Big Data.” That project ran from October 2014 to March 2020, in Japan. To handle the unprecedented explosion of big data sets in research, industry, and other areas of society, there is an urgent need to develop novel methods and approaches for big data analysis. To meet this need, innovative changes in algorithm theory for big data are being pursued. For example, polynomial-time algorithms have thus far been regarded as “fast,” but if a quadratic-time algorithm is applied to a petabyte-scale or larger big data set, problems are encountered in terms of computational resources or running time. To deal with this critical computational and algorithmic bottleneck, linear, sublinear, and constant time algorithms are required. The sublinear computation paradigm is proposed here in order to support innovation in the big data era. A foundation of innovative algorithms has been created by developing computational procedures, data structures, and modelling techniques for big data. The project is organized into three teams that focus on sublinear algorithms, sublinear data structures, and sublinear modelling. The work has provided high-level academic research results of strong computational and algorithmic interest, which are presented in this book. The book consists of five parts: Part I, which consists of a single chapter on the concept of the sublinear computation paradigm; Parts II, III, and IV review results on sublinear algorithms, sublinear data structures, and sublinear modelling, respectively; Part V presents application results. The information presented here will inspire the researchers who work in the field of modern algorithms Creative Commons https://creativecommons.org/licenses/by/4.0 cc English Algorithms & data structures Numerical analysis Algorithms and data structures Higashikawa, Yuya herausgeberin edt Ito, Hiro herausgeberin edt Nagao, Atsuki herausgeberin edt Shibuya, Tetsuo herausgeberin edt Sljoka, Adnan herausgeberin edt Tanaka, Kazuyuki herausgeberin edt Uno, Yushi herausgeberin edt https://library.oapen.org/bitstream/id/25d80dc5-b29d-436f-bd10-7902d0fcf7fe/9789811640957.pdf X:OAPEN Verlag kostenfrei https://library.oapen.org/handle/20.500.12657/51501 X:OAPEN Verlag kostenfrei ZDB-94-OAL GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP GBV_ILN_23 ISIL_DE-830 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_63 ISIL_DE-Wim2 GBV_ILN_65 ISIL_DE-3 GBV_ILN_70 ISIL_DE-89 GBV_ILN_72 ISIL_DE-35 GBV_ILN_95 ISIL_DE-542 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_136 ISIL_DE-Wis1 GBV_ILN_147 ISIL_DE-Fl3 GBV_ILN_161 ISIL_DE-960 GBV_ILN_187 ISIL_DE-Ki95 GBV_ILN_213 ISIL_DE-551 GBV_ILN_230 ISIL_DE-552 GBV_ILN_283 ISIL_DE-Ha163 GBV_ILN_293 ISIL_DE-960-3 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_603 ISIL_DE-B1556 GBV_ILN_808 GBV_ILN_2403 ISIL_DE-LFER BO 22 01 0018 4280160139 OLR-ZDB-94-OAL OAPEN Library zu 01-03-23 23 01 0830 4280712395 OLR-OAPEN f z 01-03-23 30 01 0104 428107337X GBV-OAPEN z 01-03-23 31 01 0027 4280354901 z 01-03-23 34 01 3551 427891041X OLR-OAPEN zi002 01-03-23 39 01 0547 4281264779 GBV-OAPEN ke 01-03-23 40 01 0007 4279978905 OLR-OAPEN xsn 01-03-23 63 01 3401 4281647910 E-Books LF GBV-OAPEN z 01-03-23 65 01 0003 4281897275 OLR-OAPEN z 01-03-23 70 01 0089 4280533342 OLR-OAPEN-OA OAPEN Online Library Open Access eBook z 01-03-23 72 01 0035 4278733070 OLR-OAPEN-OA OAPEN Online Library Open Access eBook z 01-03-23 95 01 3095 4343260739 OLR-OAL Vervielfältigungen (z.B. 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Sublinear Computation Paradigm Algorithmic Revolution in the Big Data Era |
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Katoh, Naoki |
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Algorithmic Revolution in the Big Data Era |
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Sublinear Computation Paradigm Algorithmic Revolution in the Big Data Era |
abstract |
This open access book gives an overview of cutting-edge work on a new paradigm called the “sublinear computation paradigm,” which was proposed in the large multiyear academic research project “Foundations of Innovative Algorithms for Big Data.” That project ran from October 2014 to March 2020, in Japan. To handle the unprecedented explosion of big data sets in research, industry, and other areas of society, there is an urgent need to develop novel methods and approaches for big data analysis. To meet this need, innovative changes in algorithm theory for big data are being pursued. For example, polynomial-time algorithms have thus far been regarded as “fast,” but if a quadratic-time algorithm is applied to a petabyte-scale or larger big data set, problems are encountered in terms of computational resources or running time. To deal with this critical computational and algorithmic bottleneck, linear, sublinear, and constant time algorithms are required. The sublinear computation paradigm is proposed here in order to support innovation in the big data era. A foundation of innovative algorithms has been created by developing computational procedures, data structures, and modelling techniques for big data. The project is organized into three teams that focus on sublinear algorithms, sublinear data structures, and sublinear modelling. The work has provided high-level academic research results of strong computational and algorithmic interest, which are presented in this book. The book consists of five parts: Part I, which consists of a single chapter on the concept of the sublinear computation paradigm; Parts II, III, and IV review results on sublinear algorithms, sublinear data structures, and sublinear modelling, respectively; Part V presents application results. The information presented here will inspire the researchers who work in the field of modern algorithms |
abstractGer |
This open access book gives an overview of cutting-edge work on a new paradigm called the “sublinear computation paradigm,” which was proposed in the large multiyear academic research project “Foundations of Innovative Algorithms for Big Data.” That project ran from October 2014 to March 2020, in Japan. To handle the unprecedented explosion of big data sets in research, industry, and other areas of society, there is an urgent need to develop novel methods and approaches for big data analysis. To meet this need, innovative changes in algorithm theory for big data are being pursued. For example, polynomial-time algorithms have thus far been regarded as “fast,” but if a quadratic-time algorithm is applied to a petabyte-scale or larger big data set, problems are encountered in terms of computational resources or running time. To deal with this critical computational and algorithmic bottleneck, linear, sublinear, and constant time algorithms are required. The sublinear computation paradigm is proposed here in order to support innovation in the big data era. A foundation of innovative algorithms has been created by developing computational procedures, data structures, and modelling techniques for big data. The project is organized into three teams that focus on sublinear algorithms, sublinear data structures, and sublinear modelling. The work has provided high-level academic research results of strong computational and algorithmic interest, which are presented in this book. The book consists of five parts: Part I, which consists of a single chapter on the concept of the sublinear computation paradigm; Parts II, III, and IV review results on sublinear algorithms, sublinear data structures, and sublinear modelling, respectively; Part V presents application results. The information presented here will inspire the researchers who work in the field of modern algorithms |
abstract_unstemmed |
This open access book gives an overview of cutting-edge work on a new paradigm called the “sublinear computation paradigm,” which was proposed in the large multiyear academic research project “Foundations of Innovative Algorithms for Big Data.” That project ran from October 2014 to March 2020, in Japan. To handle the unprecedented explosion of big data sets in research, industry, and other areas of society, there is an urgent need to develop novel methods and approaches for big data analysis. To meet this need, innovative changes in algorithm theory for big data are being pursued. For example, polynomial-time algorithms have thus far been regarded as “fast,” but if a quadratic-time algorithm is applied to a petabyte-scale or larger big data set, problems are encountered in terms of computational resources or running time. To deal with this critical computational and algorithmic bottleneck, linear, sublinear, and constant time algorithms are required. The sublinear computation paradigm is proposed here in order to support innovation in the big data era. A foundation of innovative algorithms has been created by developing computational procedures, data structures, and modelling techniques for big data. The project is organized into three teams that focus on sublinear algorithms, sublinear data structures, and sublinear modelling. The work has provided high-level academic research results of strong computational and algorithmic interest, which are presented in this book. The book consists of five parts: Part I, which consists of a single chapter on the concept of the sublinear computation paradigm; Parts II, III, and IV review results on sublinear algorithms, sublinear data structures, and sublinear modelling, respectively; Part V presents application results. The information presented here will inspire the researchers who work in the field of modern algorithms |
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title_short |
Sublinear Computation Paradigm |
url |
https://library.oapen.org/bitstream/id/25d80dc5-b29d-436f-bd10-7902d0fcf7fe/9789811640957.pdf https://library.oapen.org/handle/20.500.12657/51501 |
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