Conference Proceedings

Improving Business Process Models Using Observed Behavior

JCAM Buijs, M La Rosa, HA Reijers, BF van Dongen, WMP van der Aalst, P CudreMauroux (ed.), P Ceravolo (ed.), D Gasevic (ed.)

DATA-DRIVEN PROCESS DISCOVERY AND ANALYSIS | SPRINGER-VERLAG BERLIN | Published : 2013

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..

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Grants

Funding Acknowledgements

NICTA is funded by the Australian Department of Broadband, Communications and the Digital Economy and the Australian Research Council through the ICT Centre of Excellence program.