A business process mining application for internal transaction fraud mitigation

被引:101
作者
Jans, Mieke [1 ]
van der Werf, Jan Martijn [2 ]
Lybaert, Nadine [1 ]
Vanhoof, Koen [1 ]
机构
[1] Hasselt Univ, Fac Business Econ, B-3590 Diepenbeek, Belgium
[2] Tech Univ Eindhoven, Dept Math & Comp Sci, NL-5600 MB Eindhoven, Netherlands
关键词
Internal fraud; Transaction fraud; Process mining; FRAMEWORK;
D O I
10.1016/j.eswa.2011.04.159
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:13351 / 13359
页数:9
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