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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wen-Fang Yu Na Wang |
| Copyright Year | 2009 |
| Abstract | Along with increasing credit cards and growing trade volume in China, credit card fraud rises sharply. How to enhance the detection and prevention of credit card fraud becomes the focus of risk control of banks. This paper proposes a credit card fraud detection model using outlier detection based on distance sum according to the infrequency and unconventionality of fraud in credit card transaction data, applying outlier mining into credit card fraud detection. Experiments show that this model is feasible and accurate in detecting credit card fraud. |
| Starting Page | 353 |
| Ending Page | 356 |
| File Size | 324874 |
| Page Count | 4 |
| File Format | |
| ISBN | 9780769536156 |
| DOI | 10.1109/JCAI.2009.146 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-04-25 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | distance sum Data analysis outlier Credit cards Educational institutions Data mining Nearest neighbor searches Computer science Statistical distributions fraud detection Database systems credit card Artificial intelligence Detection algorithms |
| Content Type | Text |
| Resource Type | Article |
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