Comprehensive rule-based compliance checking and risk management with process mining

  • Authors:
  • Filip Caron;Jan Vanthienen;Bart Baesens

  • Affiliations:
  • Department of Decision Sciences and Information Management, KU Leuven, Naamsestraat 69, B-3000 Leuven, Belgium;Department of Decision Sciences and Information Management, KU Leuven, Naamsestraat 69, B-3000 Leuven, Belgium;Department of Decision Sciences and Information Management, KU Leuven, Naamsestraat 69, B-3000 Leuven, Belgium and Vlerick Leuven Gent Management School, Vlamingenstraat 38, B-3000 Leuven, Belgium ...

  • Venue:
  • Decision Support Systems
  • Year:
  • 2013

Quantified Score

Hi-index 0.00

Visualization

Abstract

Process mining researchers have primarily focused on developing and improving process discovery techniques, while attention for the applicability of process mining has been below par. As a result, there only exists a partial fit with the traditional requirements for compliance checking and risk management. This paper proposes a comprehensive rule-based process mining approach for a timely investigation of a complete set of enriched process event data. Additionally, the contribution elaborates a two-dimensional business rule taxonomy that serves as a source of business rules for the comprehensive rule-based compliance checking approach. Finally, the study provides a formal grounding for and an evaluation of the comprehensive rule-based compliance checking approach.