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 language | English |
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Title of host publication | Business Process Management (9th International Conference, BPM 2011, Clermont-Ferrand, France, August 28-September 2, 2011. Proceedings) |
Editors | S. Rinderle-Ma, F. Toumani, K. Wolf |
Place of Publication | Berlin |
Publisher | Springer |
Pages | 362-378 |
ISBN (Print) | 978-3-642-23058-5 |
DOIs | |
Publication status | Published - 2011 |
Publication series
Name | Lecture Notes in Computer Science |
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Volume | 6896 |
ISSN (Print) | 0302-9743 |
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Dive into the research topics of 'Simplifying mined process models : an approach based on unfoldings'. Together they form a unique fingerprint.Prizes
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Best Paper Award BPM 2011
Fahland, D. (Recipient) & van der Aalst, W. M. P. (Recipient), Aug 2011
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific