Flexible heuristics miner (FHM)

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

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

337 Citations (Scopus)


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.
Original languageEnglish
Title of host publicationProceedings of the IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2011, Paris, France, April 11-15, 2011)
Place of PublicationPiscataway, USA
PublisherInstitute of Electrical and Electronics Engineers
ISBN (Print)978-1-4244-9926-7
Publication statusPublished - 2011
Event2011 IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2011) - Paris, France
Duration: 11 Apr 201115 Apr 2011


Conference2011 IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2011)


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