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Song, Minseok
Business Process Intelligence(BPI) Lab
Research Interests
  • Process mining
  • Social network analysis/Organizational structure analysis
  • Process knowledge management
  • Business process analysis, simulation, and optimization
  • Data mining/business intelligence

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ProM 4.0: Comprehensive support for real process analysis

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Title
ProM 4.0: Comprehensive support for real process analysis
Author
Van Der Aalst, W.M.P.Van Dongen, B.F.Gunther, C.W.Mans, R.S.De Alves Medeiros, A.K.Rozinat, A.Rubin, V.Song, MinseokVerbeek, H.M.WWeijters, A.J.M.M.
Keywords
PROCESS MODELS;  EVENT LOGS;  SYSTEMS
Issue Date
2007
Publisher
Springer Verlag
Citation
LECTURE NOTES IN COMPUTER SCIENCE, v.4546, no., pp.484 - 494
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.
URI
https://scholarworks.unist.ac.kr/handle/201301/9023
ISSN
0302-9743
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SBA_Journal Papers
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