Publication
Title
A business process mining application for internal transaction fraud mitigation
Author
Abstract
Corporate fraud these days represents a huge cost to our economy. In the paper we address one specific type of corporate fraud, internal transaction fraud. Given the omnipresence of stored history logs, the field of process mining rises as an adequate answer to mitigating internal transaction fraud. Process mining diagnoses processes by mining event logs. This way we can expose opportunities to commit fraud in the followed process. In this paper we report on an application of process mining at a case company. The procurement process was selected as example for internal transaction fraud mitigation. The results confirm the contribution process mining can provide to business practice.
Language
English
Source (journal)
Expert systems with applications. - New York
Publication
New York : 2011
ISSN
0957-4174
DOI
10.1016/J.ESWA.2011.04.159
Volume/pages
38 :10 (2011) , p. 13351-13359
ISI
000292169500147
Full text (Publisher's DOI)
Full text (publisher's version - intranet only)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
External links
Web of Science
Record
Identifier
Creation 20.03.2012
Last edited 19.02.2023
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