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APATE: A novel approach for automated credit card transaction fraud detection using network-based extensions

Publication Type:

Journal Article

Authors:

Véronique Van Vlasselaer; Cristián Bravo; Olivier Caelen; Tina Eliassi-Rad; Leman Akoglu; Monique Snoeck; Bart Baesens

Source:

Decision Support Systems, Volume 75, p.38-48 (2015)
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References

Zaslavsky, Vladimir, and Anna Strizhak. "Credit Card Fraud Detection Using Self-Organizing Maps." Information & Security: An International Journal 18 (2006): 48-63.

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APA style: Van Vlasselaer, V., Bravo C., Caelen O., Eliassi-Rad T., Akoglu L., Snoeck M., et al. (2015).  APATE: A novel approach for automated credit card transaction fraud detection using network-based extensions. Decision Support Systems. 75, 38-48.
Chicago style: Van Vlasselaer, Véronique, Cristián Bravo, Olivier Caelen, Tina Eliassi-Rad, Leman Akoglu, Monique Snoeck, and Bart Baesens. "APATE: A novel approach for automated credit card transaction fraud detection using network-based extensions." Decision Support Systems 75 (2015): 38-48.
IEEE style: Van Vlasselaer, V., C. Bravo, O. Caelen, T. Eliassi-Rad, L. Akoglu, M. Snoeck, and B. Baesens, "APATE: A novel approach for automated credit card transaction fraud detection using network-based extensions", Decision Support Systems, vol. 75, pp. 38-48, July 2015.
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