Skip to Main content Skip to Navigation
New interface
Conference papers

Improving Business Process Models Using Observed Behavior

Abstract : 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.
Document type :
Conference papers
Complete list of metadata

Cited literature [18 references]  Display  Hide  Download
Contributor : Hal Ifip Connect in order to contact the contributor
Submitted on : Thursday, February 23, 2017 - 9:33:25 AM
Last modification on : Thursday, February 23, 2017 - 9:40:42 AM
Long-term archiving on: : Wednesday, May 24, 2017 - 12:32:00 PM


Files produced by the author(s)


Distributed under a Creative Commons Attribution 4.0 International License



J. M. Buijs, M. La Rosa, H. A. Reijers, B. Van Dongen, W. van Der Aalst. Improving Business Process Models Using Observed Behavior. 2nd International Symposium on Data-Driven Process Discovery and Analysis (SIMPDA), Jun 2012, Campione d’Italia, Italy. pp.44-59, ⟨10.1007/978-3-642-40919-6_3⟩. ⟨hal-01474689⟩



Record views


Files downloads