Detection of Credit Card Fraud Based on Support Vector Machine
Xu Yonghua · Jisuanji fangzhen · 2011
Credit card fraud data has high dimension and sparseness,the traditional detecting methods do not have good recognition rate.In order to improve the credit card fraud detection accuracy,this paper proposed a credit card fraud detection method based on support vector machine(SVM).Firstly,the credit card consumption data sampling is trained by support vector machine to build a detection system,then the detecting system credit card consumption behavior is tested to determine whether the fraud trading behavior is fraud.The model is tested by a commercial bank credit card consumption data,and experimental results show that the credit card fraud detection accuracy reached 95% using support vector machine,with testing time only 0.565 seconds.The results prove that the proposed detection is an effective credit card detection method