Kernel Methods in Anomaly Detection
The objectives of this research is about evaluation of accuracy and performance of different kernel methods. The results of these methods are demonstrated on credit card fraud dataset to show superiority of one-class SVM (Super Vextor Machine) for anomaly detection problem.
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| Format: | Thesis |
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2012
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