ProM : the process mining toolkit

W.M.P. Aalst, van der, B.F. Dongen, van, C.W. Günther, A. Rozinat, H.M.W. Verbeek, A.J.M.M. Weijters

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

94 Citations (Scopus)
251 Downloads (Pure)


Nowadays, all kinds of information systems store detailed information in logs. Process mining has emerged as a way to analyze these systems based on these detailed logs. Unlike classical data mining, the focus of process mining is on processes. First, process mining allows us to extract a process model from an event log. Second, it allows us to detect discrepancies between a modeled process (as it was envisioned to be) and an event log (as it actually is). Third, it can enrich an existing model with knowledge derived from an event log. This paper presents our tool ProM, which is the world-leading tool in the area of process mining.
Original languageEnglish
Title of host publicationProceedings of the BPM 2009 Demonstration Track (BPMDemos 2009, Ulm, Germany, September 8, 2009)
EditorsA.K. Alves de Medeiros, B. Weber
Place of PublicationAachen
Publication statusPublished - 2009

Publication series

NameCEUR Workshop Proceedings
ISSN (Print)1613-0073


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