Two type errors of "rejecting the true and accepting the false" are inevitable in customer value segmentation.The traditional data mining method which is based on the total accuracy rate can not reflect the influence caused by the great difference of misclassification costs and unbalanced quantity distribution of customers who have various values.The research proposes the cost-sensitive SVM classifier by presenting a misclassification cost function based on customer value,and expands binary-clas...