Bank Customer Classification Model and Application Based on SVM

Abstract

Based on the data mining method, support vector machine, technology and related analysis of variable selection methods, establishing binary classification model of VIP users and Ordinary users for commercial banks, executing classification prediction and results verifying on VIP users and Ordinary users of an Agricultural Bank in Changsha, and making comparative analysis on classification prediction accuracy and the time consuming when processing by comparing with neural network.