Improving Credit Card Fraud Detection using a Meta-learning Strategy
One of the issues facing credit card fraud detection systems is that a significant percentage of transactions labeled as fraudulent are in fact legitimate. These “false alarms” delay the detection of fraudulent transactions. Analysis of 11 months of credit card transaction data from a major Canadian...
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| Language: | en_ca |
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2011
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| Online Access: | http://hdl.handle.net/1807/31396 |