Advances in Rule-Based Process Mining: Applications for Enterprise Risk Management and Auditing

KU Leuven - Faculty of Economics and Business Working Paper No. KBI 1305

28 Pages Posted: 9 Apr 2013

See all articles by Filip Caron

Filip Caron

KU Leuven - Faculty of Business and Economics (FBE)

Jan Vanthienen

Katholieke Universiteit Leuven (K.U.Leuven)

Bart Baesens

KU Leuven - Faculty of Business and Economics (FEB)

Date Written: 2013

Abstract

Process mining research has mainly focused on the development of process mining techniques, with process discovery algorithms in the center of attention. However, far less research attention has been paid to the actual applicability of these process mining techniques in common business settings. Consequently, there only exists a partial fit between the existing process mining techniques and the compliance checking & risk management applications.

This research report contributes to the process mining and compliance checking research by proposing an eff ective and efficient rule-based approach for analyzing organizational information and processes. Additionally, a general content-based business rule taxonomy has been developed as a source of business rules for the compliance checking approach. Furthermore, we also provide formal grounding for and an evaluation of the rule-based approach.

Keywords: Business Rules, Compliance Checking, Risk Management, Process Mining, Process-Aware Information Systems

Suggested Citation

Caron, Filip and Vanthienen, Jan and Baesens, Bart, Advances in Rule-Based Process Mining: Applications for Enterprise Risk Management and Auditing (2013). KU Leuven - Faculty of Economics and Business Working Paper No. KBI 1305, Available at SSRN: https://ssrn.com/abstract=2246722 or http://dx.doi.org/10.2139/ssrn.2246722

Filip Caron (Contact Author)

KU Leuven - Faculty of Business and Economics (FBE) ( email )

Naamsestraat 69
Leuven, B-3000
Belgium

Jan Vanthienen

Katholieke Universiteit Leuven (K.U.Leuven) ( email )

Dept of Decision Sciences & Information Management
Naamsestraat 69
B-3000 Leuven
Belgium

Bart Baesens

KU Leuven - Faculty of Business and Economics (FEB) ( email )

Naamsestraat 69
Leuven, B-3000
Belgium

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