The Support Vector Machine Based on the Principal Component in the Credit Management of Electronic Commerce

The paper applies support vector machine (SVM) based on principal component to credit management in E-commerce, and in this paper not only principal component analysis is used to do operation of dimension reduction in multi-dimensional variable system so as to get low-dimensional variable system characters with a high precision, but also the favorable generalization capability of SVM to small sample is adopted. Experiment results indicate that the way of managing E-commerce by means of integrating principal component analysis with SVM is simpler and more effective than that of traditional single using SVM.