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The Scientific World Journal
Volume 2014, Article ID 252797, 10 pages
http://dx.doi.org/10.1155/2014/252797
Research Article

FraudMiner: A Novel Credit Card Fraud Detection Model Based on Frequent Itemset Mining

Department of Computer Science, Jamia Hamdard University, New Delhi 110062, India

Received 30 April 2014; Revised 14 August 2014; Accepted 24 August 2014; Published 11 September 2014

Academic Editor: Wenyu Zhang

Copyright © 2014 K. R. Seeja and Masoumeh Zareapoor. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [19 citations]

The following is the list of published articles that have cited the current article.

  • Roy Laurens, Jusak Jusak, and Cliff C. Zou, “Invariant Diversity as a Proactive Fraud Detection Mechanism for Online Merchants,” GLOBECOM 2017 - 2017 IEEE Global Communications Conference, pp. 1–6, . View at Publisher · View at Google Scholar
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