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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/13414

Title: A process deviation analysis - a case study
Authors: Swinnen, Jo
Depaire, Benoit
Jans, Mieke J.
Vanhoof, Koen
Issue Date: 2012
Publisher: Springer
Citation: Daniel, Florian; Barkaoui, Kamel; Dustdar, Schahram (Ed.). Business Process Management Workshops, p. 87-98
Series/Report: Lecture Notes in Business Information Processing
Series/Report no.: 99
Abstract: Processes are not always executed as expected. Deviations assure the necessary flexibility within a company, but also increase possible internal control weaknesses. Since the number of cases following such a deviation can grow very large, it becomes difficult to analyze them case-by-case. This paper proposes a semi-automatic process deviation analysis method which combines process mining with association rule mining to simplify the analysis of deviating cases. Association rule mining is used to group deviating cases into business rules according to similar attribute values. Consequently, only the resulting business rules need to be examined on their acceptability which makes the analysis less complicated. Therefore, this method can be used to support the search for internal control weaknesses.
URI: http://hdl.handle.net/1942/13414
DOI: 10.1007/978-3-642-28108-2_8
ISI #: 000310558400008
ISBN: 978-3-642-28107-5
ISSN: 1865-1348
Category: C1
Type: Proceedings Paper
Validation: ecoom, 2013
vabb, 2014
Appears in Collections: Research publications

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