Improving business process models using observed behavior
Contribuinte(s) |
Cudre-Mauroux, P. Ceravolo, P. Gasevic, D. |
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Data(s) |
01/08/2013
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Resumo |
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. |
Formato |
application/pdf |
Identificador | |
Publicador |
Springer |
Relação |
http://eprints.qut.edu.au/61710/1/modelRepair.pdf DOI:10.1007/978-3-642-40919-6_3 Buijs, Joos, La Rosa, Marcello, Reijers, Hajo A., van Dongen, Boudewijn, & van der Aalst, Wil M.P. (2013) Improving business process models using observed behavior. In Cudre-Mauroux, P., Ceravolo, P., & Gasevic, D. (Eds.) SIMPDA 2012, Springer, Campione d'Italia, Italy, pp. 44-59. |
Direitos |
Copyright 2013 International Federation for Information Processing |
Fonte |
Institute for Future Environments; Information Systems; Science & Engineering Faculty |
Palavras-Chave | #080609 Information Systems Management #process mining #automated process discovery #process improvement #fitness #genetic algorithm |
Tipo |
Conference Paper |