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dc.citation.endPage 494 -
dc.citation.startPage 484 -
dc.citation.title LECTURE NOTES IN COMPUTER SCIENCE -
dc.citation.volume 4546 -
dc.contributor.author Van Der Aalst, W.M.P. -
dc.contributor.author Van Dongen, B.F. -
dc.contributor.author Gunther, C.W. -
dc.contributor.author Mans, R.S. -
dc.contributor.author De Alves Medeiros, A.K. -
dc.contributor.author Rozinat, A. -
dc.contributor.author Rubin, V. -
dc.contributor.author Song, Minseok -
dc.contributor.author Verbeek, H.M.W -
dc.contributor.author Weijters, A.J.M.M. -
dc.date.accessioned 2023-12-22T09:37:59Z -
dc.date.available 2023-12-22T09:37:59Z -
dc.date.created 2014-11-20 -
dc.date.issued 2007 -
dc.description.abstract This tool paper describes the functionality of ProM. Version 4.0 of ProM has been released at the end of 2006 and this version reflects recent achievements in process mining. Process mining techniques attempt to extract non-trivial and useful information from so-called "event logs". One element of process mining is control-flow discovery, i.e., automatically constructing a process model (e.g., a Petri net) describing the causal dependencies between activities. Control-flow discovery is an interesting and practically relevant challenge for Petri-net researchers and ProM provides an excellent platform for this. For example, the theory of regions, genetic algorithms, free-choice-net properties, etc. can be exploited to derive Petri nets based on example behavior. However, as we will show in this paper, the functionality of ProM 4.0 is not limited to control-flow discovery. ProM 4.0 also allows for the discovery of other perspectives (e.g., data and resources) and supports related techniques such as conformance checking, model extension, model transformation, verification, etc. This makes ProM a versatile tool for process analysis which is not restricted to model analysis but also includes log-based analysis. -
dc.identifier.bibliographicCitation LECTURE NOTES IN COMPUTER SCIENCE, v.4546, pp.484 - 494 -
dc.identifier.issn 0302-9743 -
dc.identifier.scopusid 2-s2.0-38149055702 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/9023 -
dc.identifier.url http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=38149055702 -
dc.identifier.wosid 000248529400028 -
dc.language 영어 -
dc.publisher Springer Verlag -
dc.title ProM 4.0: Comprehensive support for real process analysis -
dc.type Article -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.subject.keywordPlus PROCESS MODELS -
dc.subject.keywordPlus EVENT LOGS -
dc.subject.keywordPlus SYSTEMS -

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