ProM : the process mining toolkit

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

73 Citaten (Scopus)
108 Downloads (Pure)

Samenvatting

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.
Originele taal-2Engels
TitelProceedings of the BPM 2009 Demonstration Track (BPMDemos 2009, Ulm, Germany, September 8, 2009)
RedacteurenA.K. Alves de Medeiros, B. Weber
Plaats van productieAachen
UitgeverijCEUR-WS.org
Pagina's1-4
StatusGepubliceerd - 2009

Publicatie series

NaamCEUR Workshop Proceedings
Volume489
ISSN van geprinte versie1613-0073

Vingerafdruk

Duik in de onderzoeksthema's van 'ProM : the process mining toolkit'. Samen vormen ze een unieke vingerafdruk.

Citeer dit