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.
Type de document :
Communication dans un congrès
Wil Aalst; John Mylopoulos; Michael Rosemann; Michael J. Shaw; Clemens Szyperski; Philippe Cudre-Mauroux; Paolo Ceravolo; Dragan Gašević. 2nd International Symposium on Data-Driven Process Discovery and Analysis (SIMPDA), Jun 2012, Campione d’Italia, Italy. Springer, Lecture Notes in Business Information Processing, LNBIP-162, pp.44-59, 2013, Data-Driven Process Discovery and Analysis. 〈10.1007/978-3-642-40919-6_3〉
Liste complète des métadonnées

Littérature citée [18 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-01474689
Contributeur : Hal Ifip <>
Soumis le : jeudi 23 février 2017 - 09:33:25
Dernière modification le : jeudi 23 février 2017 - 09:40:42
Document(s) archivé(s) le : mercredi 24 mai 2017 - 12:32:00

Fichier

978-3-642-40919-6_3_Chapter.pd...
Fichiers produits par l'(les) auteur(s)

Licence


Distributed under a Creative Commons Paternité 4.0 International License

Identifiants

Citation

J. Buijs, M. Rosa, H. Reijers, B. Dongen, W. Aalst. Improving Business Process Models Using Observed Behavior. Wil Aalst; John Mylopoulos; Michael Rosemann; Michael J. Shaw; Clemens Szyperski; Philippe Cudre-Mauroux; Paolo Ceravolo; Dragan Gašević. 2nd International Symposium on Data-Driven Process Discovery and Analysis (SIMPDA), Jun 2012, Campione d’Italia, Italy. Springer, Lecture Notes in Business Information Processing, LNBIP-162, pp.44-59, 2013, Data-Driven Process Discovery and Analysis. 〈10.1007/978-3-642-40919-6_3〉. 〈hal-01474689〉

Partager

Métriques

Consultations de la notice

87

Téléchargements de fichiers

32