Iskra: A Tool for Process Model Repair

This paper is dedicated to a tool whose aim is to facilitate process mining experiments and evaluation of the repair algorithms. Process mining is a set of approaches which provides solutions and algorithms for discovery and analysis of business process models based on event logs. Process mining has...
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Gespeichert in:

Autor*in:	I. Shugurov [verfasserIn] A. Mitsyuk [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch ; Russisch

Erschienen:	2018

Schlagwörter:	process model petri net model repair process mining

Übergeordnetes Werk:	In: Труды Института системного программирования РАН - Ivannikov Institute for System Programming of the Russian Academy of Sciences, 2019, 27(2018), 3, Seite 237-254
Übergeordnetes Werk:	volume:27 ; year:2018 ; number:3 ; pages:237-254

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.15514/ISPRAS-2015-27(3)-16

Katalog-ID:	DOAJ064082148

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allfieldsSound	10.15514/ISPRAS-2015-27(3)-16 doi (DE-627)DOAJ064082148 (DE-599)DOAJ5902975eb2bc49d9b497f1c5a6e1646e DE-627 ger DE-627 rakwb eng rus QA75.5-76.95 I. Shugurov verfasserin aut Iskra: A Tool for Process Model Repair 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper is dedicated to a tool whose aim is to facilitate process mining experiments and evaluation of the repair algorithms. Process mining is a set of approaches which provides solutions and algorithms for discovery and analysis of business process models based on event logs. Process mining has three main areas of interest: model discovery, conformance checking and enhancement. The paper focuses on the latter. The goal of enhancement process is to refine an existing process model in order to make it adhere event logs. The particular approach of enhancement considered in the paper is called decomposed model repair. Although the paper is devoted to the implementation part of the approach, theoretical preliminaries essential for domain understanding are provided. Moreover, a typical use case of the tool is shown as well as guides to extending the tool and enriching it with extra algorithms and functionality. Finally, other solutions which can be used for implementation of repair schemes are considered, pros and cons of using them are mentioned. process model petri net model repair process mining Electronic computers. Computer science A. Mitsyuk verfasserin aut In Труды Института системного программирования РАН Ivannikov Institute for System Programming of the Russian Academy of Sciences, 2019 27(2018), 3, Seite 237-254 (DE-627)1004960409 22206426 nnns volume:27 year:2018 number:3 pages:237-254 https://doi.org/10.15514/ISPRAS-2015-27(3)-16 kostenfrei https://doaj.org/article/5902975eb2bc49d9b497f1c5a6e1646e kostenfrei https://ispranproceedings.elpub.ru/jour/article/view/648 kostenfrei https://doaj.org/toc/2079-8156 Journal toc kostenfrei https://doaj.org/toc/2220-6426 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 27 2018 3 237-254
language	English Russian
source	In Труды Института системного программирования РАН 27(2018), 3, Seite 237-254 volume:27 year:2018 number:3 pages:237-254
sourceStr	In Труды Института системного программирования РАН 27(2018), 3, Seite 237-254 volume:27 year:2018 number:3 pages:237-254
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	process model petri net model repair process mining Electronic computers. Computer science
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title_auth	Iskra: A Tool for Process Model Repair
abstract	This paper is dedicated to a tool whose aim is to facilitate process mining experiments and evaluation of the repair algorithms. Process mining is a set of approaches which provides solutions and algorithms for discovery and analysis of business process models based on event logs. Process mining has three main areas of interest: model discovery, conformance checking and enhancement. The paper focuses on the latter. The goal of enhancement process is to refine an existing process model in order to make it adhere event logs. The particular approach of enhancement considered in the paper is called decomposed model repair. Although the paper is devoted to the implementation part of the approach, theoretical preliminaries essential for domain understanding are provided. Moreover, a typical use case of the tool is shown as well as guides to extending the tool and enriching it with extra algorithms and functionality. Finally, other solutions which can be used for implementation of repair schemes are considered, pros and cons of using them are mentioned.
abstractGer	This paper is dedicated to a tool whose aim is to facilitate process mining experiments and evaluation of the repair algorithms. Process mining is a set of approaches which provides solutions and algorithms for discovery and analysis of business process models based on event logs. Process mining has three main areas of interest: model discovery, conformance checking and enhancement. The paper focuses on the latter. The goal of enhancement process is to refine an existing process model in order to make it adhere event logs. The particular approach of enhancement considered in the paper is called decomposed model repair. Although the paper is devoted to the implementation part of the approach, theoretical preliminaries essential for domain understanding are provided. Moreover, a typical use case of the tool is shown as well as guides to extending the tool and enriching it with extra algorithms and functionality. Finally, other solutions which can be used for implementation of repair schemes are considered, pros and cons of using them are mentioned.
abstract_unstemmed	This paper is dedicated to a tool whose aim is to facilitate process mining experiments and evaluation of the repair algorithms. Process mining is a set of approaches which provides solutions and algorithms for discovery and analysis of business process models based on event logs. Process mining has three main areas of interest: model discovery, conformance checking and enhancement. The paper focuses on the latter. The goal of enhancement process is to refine an existing process model in order to make it adhere event logs. The particular approach of enhancement considered in the paper is called decomposed model repair. Although the paper is devoted to the implementation part of the approach, theoretical preliminaries essential for domain understanding are provided. Moreover, a typical use case of the tool is shown as well as guides to extending the tool and enriching it with extra algorithms and functionality. Finally, other solutions which can be used for implementation of repair schemes are considered, pros and cons of using them are mentioned.
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title_short	Iskra: A Tool for Process Model Repair
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