Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/8483
Title: Business Process Mining for Internal Fraud Risk Reduction: Results of a Case Study
Authors: JANS, Mieke 
LYBAERT, Nadine 
VANHOOF, Koen 
Issue Date: 2008
Source: Proceedings of Induction of Process Models.
Abstract: Corporate fraud these days represents a huge cost to our economy. Academic literature merely concentrates on the fight against external fraud, while internal fraud also represents a huge cost to our economy. In this paper we discuss the use of process mining to reduce the risk of internal fraud. Process mining diagnoses processes by mining event logs. This way we can expose opportunities to commit fraud in the process design. We present a methodology as a complement to the internal control framework of the COSO and apply this methodology in a case company.
Keywords: Process Mining, Internal Fraud Risk Reduction
Document URI: http://hdl.handle.net/1942/8483
Category: C2
Type: Proceedings Paper
Appears in Collections:Research publications

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