Simplifying mined process models : an approach based on unfoldings

D. Fahland, W.M.P. Aalst, van der

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

17 Citations (Scopus)

Abstract

Process models discovered using process mining tend to be complex and have problems balancing between overfitting and underfitting. Overfitting models are not general enough while underfitting models allow for too much behavior. This paper presents a post-processing approach to simplify discovered process models while controlling the balance between overfitting and underfitting. The discovered process model, expressed in terms of a Petri net, is unfolded into a branching process using the event log. Subsequently, the resulting branching process is folded into a simpler process model capturing the desired behavior.
Original languageEnglish
Title of host publicationBusiness Process Management (9th International Conference, BPM 2011, Clermont-Ferrand, France, August 28-September 2, 2011. Proceedings)
EditorsS. Rinderle-Ma, F. Toumani, K. Wolf
Place of PublicationBerlin
PublisherSpringer
Pages362-378
ISBN (Print)978-3-642-23058-5
DOIs
Publication statusPublished - 2011

Publication series

NameLecture Notes in Computer Science
Volume6896
ISSN (Print)0302-9743

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  • Best Paper Award BPM 2011

    Fahland, D. (Recipient) & van der Aalst, W. M. P. (Recipient), Aug 2011

    Prize: OtherCareer, activity or publication related prizes (lifetime, best paper, poster etc.)Scientific

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