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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/12115

Title: A business process mining application for internal transaction fraud mitigation
Authors: JANS, Mieke
van der Werf, Jan Martijn
Issue Date: 2011
Citation: EXPERT SYSTEMS WITH APPLICATIONS, 38(10). p. 13351-13359
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. (C) 2011 Elsevier Ltd. All rights reserved.
Notes: [Jans, M; Lybaert, N; Vanhoof, K] Hasselt Univ, Fac Business Econ, B-3590 Diepenbeek, Belgium [van der Werf, JM] Tech Univ Eindhoven, Dept Math & Comp Sci, NL-5600 MB Eindhoven, Netherlands mieke.jans@uhasselt.be; j.m.e.m.v.d.werf@tue.nl; nadine.lybaert@uhasselt.be; koen.vanhoof@uhas-selt.be
URI: http://hdl.handle.net/1942/12115
DOI: 10.1016/j.eswa.2011.04.159
ISI #: 000292169500147
ISSN: 0957-4174
Category: A1
Type: Journal Contribution
Validation: ecoom, 2012
Appears in Collections: Research publications

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