Please use this identifier to cite or link to this item:
Title: Business Process Mining for Internal Fraud Risk Reduction: Results of a Case Study
Authors: JANS, Mieke 
LYBAERT, Nadine 
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:
Category: C2
Type: Proceedings Paper
Appears in Collections:Research publications

Files in This Item:
File Description SizeFormat 
IPM_MJans.pdfProceedings version104.4 kBAdobe PDFView/Open
Show full item record

Page view(s)

checked on May 18, 2022


checked on May 18, 2022

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.