Flexible heuristics miner (FHM)

A.J.M.M. Weijters, J.T.S. Ribeiro

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

244 Citaten (Scopus)

Samenvatting

One of the aims of process mining is to retrieve a process model from a given event log. However, current techniques have problems when mining processes that contain nontrivial constructs, processes that are low structured and/or dealing with the presence of noise in the event logs. To overcome these problems, a new process representation language is presented in combination with an accompanying process mining algorithm. The most significant property of the new representation language is in the way the semantics of splits and joins are represented; by using so-called split/join frequency tables. This results in easy to understand process models even in the case of non-trivial constructs, low structured domains and the presence of noise. This paper explains the new process representation language and how the mining algorithm works. The algorithm is implemented as a plug-in in the ProM framework. An illustrative example with noise and a real life log of a complex and low structured process are used to explicate the presented approach.
Originele taal-2Engels
TitelProceedings of the IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2011, Paris, France, April 11-15, 2011)
Plaats van productiePiscataway, USA
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's310-317
ISBN van geprinte versie978-1-4244-9926-7
DOI's
StatusGepubliceerd - 2011
Evenement2011 IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2011) - Paris, Frankrijk
Duur: 11 apr 201115 apr 2011

Congres

Congres2011 IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2011)
Land/RegioFrankrijk
StadParis
Periode11/04/1115/04/11
AnderIEEE Symposium on Computational Intelligence and Data Mining (CIDM 2011)

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