Rule-Based Business Process Mining: Applications for Management

  • Filip Caron
  • Jan Vanthienen
  • Bart Baesens
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 171)

Abstract

The abundance of available event data, originating from process-aware information systems, creates opportunities for enterprise risk management applications at the intersection of the business & management, artificial intelligence and knowledge representation research fields. This paper proposes a rule-based process mining approach for dealing with uncertainty and risk. The applicability of the approach is demonstrated using the updating and debugging process of a social security service provider.

Keywords

Business Process Process Instance Business Rule Management Control System Conformance Check 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Filip Caron
    • 1
  • Jan Vanthienen
    • 1
  • Bart Baesens
    • 1
  1. 1.Department of Decision Sciences and Information ManagementKU LeuvenLeuvenBelgium

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