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. © 2012 Springer-Verlag.
Caron, F., Vanthienen, J., & Baesens, B. (2012). Rule-based business process mining: Applications for management. In Advances in Intelligent Systems and Computing (Vol. 171 AISC, pp. 273–282). Springer Verlag. https://doi.org/10.1007/978-3-642-30864-2_26