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Function-based case classification for improving business process mining

  • In the last years business process mining has become a wide research area. However, existing process mining techniques encounter challenges while dealing with event logs stemming from highly flexible environments because such logs contain a large amount of different behaviors. As a result, inaccurate and wrong analysis results might be obtained. In this paper we propose a case (a case is an instance of the business process) classification technique which is able to combine domain experts knowledge for classifying cases so that each group is calculated containing the cases with similar behaviors. By applying existing process mining techniques on the cases for each group, more meaningful and accurate analysis results can be obtained.

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Metadaten
Author:Yaguang Sun, Bernhard BauerORCiDGND
URN:urn:nbn:de:bvb:384-opus4-1200383
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/120038
ISBN:978-989-758-096-3OPAC
Parent Title (English):Proceedings of the 17th International Conference on Enterprise Information Systems (ICEIS 2015), April 27-30, 2015, Barcelona, Spain, volume 2
Publisher:SciTePress
Place of publication:Setúbal
Editor:Slimane Hammoudi, Leszek Maciaszek, Ernest Teniente
Type:Conference Proceeding
Language:English
Year of first Publication:2015
Publishing Institution:Universität Augsburg
Release Date:2025/03/12
First Page:251
Last Page:258
DOI:https://doi.org/10.5220/0005349202510258
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Softwaretechnik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Softwaretechnik / Professur Softwaremethodik für verteilte Systeme
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):License LogoCC-BY-NC-ND 4.0: Creative Commons: Namensnennung - Nicht kommerziell - Keine Bearbeitung (mit Print on Demand)

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