FraudMiner: A Novel Credit Card Fraud Detection Model Based on Frequent Itemset Mining
This paper proposes an intelligent credit card fraud detection model for detecting fraud from highly imbalanced and anonymous credit card transaction datasets. The class imbalance problem is handled by finding legal as well as fraud transaction patterns for each customer by using frequent itemset mi...
Main Authors: | K. R. Seeja, Masoumeh Zareapoor |
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Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2014-01-01
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Series: | The Scientific World Journal |
Online Access: | http://dx.doi.org/10.1155/2014/252797 |
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