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Data Mining and Economic Crime Risk Management

Data Mining and Economic Crime Risk Management

Mieke Jans, Nadine Lybaert, Koen Vanhoof
Copyright: © 2011 |Pages: 23
ISBN13: 9781616928650|ISBN10: 1616928654|EISBN13: 9781616928674
DOI: 10.4018/978-1-61692-865-0.ch011
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MLA

Jans, Mieke, et al. "Data Mining and Economic Crime Risk Management." Surveillance Technologies and Early Warning Systems: Data Mining Applications for Risk Detection, edited by Ali Serhan Koyuncugil and Nermin Ozgulbas, IGI Global, 2011, pp. 205-227. https://doi.org/10.4018/978-1-61692-865-0.ch011

APA

Jans, M., Lybaert, N., & Vanhoof, K. (2011). Data Mining and Economic Crime Risk Management. In A. Koyuncugil & N. Ozgulbas (Eds.), Surveillance Technologies and Early Warning Systems: Data Mining Applications for Risk Detection (pp. 205-227). IGI Global. https://doi.org/10.4018/978-1-61692-865-0.ch011

Chicago

Jans, Mieke, Nadine Lybaert, and Koen Vanhoof. "Data Mining and Economic Crime Risk Management." In Surveillance Technologies and Early Warning Systems: Data Mining Applications for Risk Detection, edited by Ali Serhan Koyuncugil and Nermin Ozgulbas, 205-227. Hershey, PA: IGI Global, 2011. https://doi.org/10.4018/978-1-61692-865-0.ch011

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Abstract

Economic crime is a billion dollar business and is substantially present in our current society. Both researchers and practitioners have gone into this problem by looking for ways of fraud mitigation. Data mining is often called in this context. In this chapter, the application of data mining in the field of economic crime, or corporate fraud, is discussed. The classification external versus internal fraud is explained and the major types of fraud within these classifications will be given. Aside from explaining these classifications, some numbers and statistics are provided. After this thorough introduction into fraud, an academic literature review concerning data mining in combination with fraud is given, along with the current solutions for corporate fraud in business practice. At the end, a current state of data mining applications within the field of economic crime, both in the academic world and in business practice, is given.

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