Improving business process models using observed behavior

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29 Citations (Scopus)
2 Downloads (Pure)


Process-aware information systems (PAISs) can be configured using a reference process model, which is typically obtained via expert interviews. Over time, however, contextual factors and system requirements may cause the operational process to start deviating from this reference model. While a reference model should ideally be updated to remain aligned with such changes, this is a costly and often neglected activity. We present a new process mining technique that automatically improves the reference model on the basis of the observed behavior as recorded in the event logs of a PAIS. We discuss how to balance the four basic quality dimensions for process mining (fitness, precision, simplicity and generalization) and a new dimension, namely the structural similarity between the reference model and the discovered model. We demonstrate the applicability of this technique using a real-life scenario from a Dutch municipality.
Original languageEnglish
Title of host publicationData-driven process discovery and analysis : Second IFIP WG 2.6, 2.12 International Symposium, SIMPDA 2012, Campione d’Italia, Italy, June 18-20, 2012 : Revised Selected Papers
EditorsP. Cudre-Mauroux, P. Ceravolo, D. Gasevic
Place of PublicationBerlin
ISBN (Print)978-3-642-40918-9
Publication statusPublished - 2013
Event2nd International Symposium on Data-Driven Process Discovery and Analysis (SIMPDA 2012) - Riva del Garda, Italy
Duration: 18 Jun 201220 Jun 2012
Conference number: 2

Publication series

NameLecture Notes in Business Information Processing
ISSN (Print)1865-1348


Conference2nd International Symposium on Data-Driven Process Discovery and Analysis (SIMPDA 2012)
Abbreviated titleSIMPDA 2012
CityRiva del Garda
Internet address


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