Research On Customer Churn Prediction Of Mobile Communication Enterprise Based On SVM

The mobile communication market of our country had experienced rapid expansion, now new customers increase slowly, by the impact of various marketing programs, coupled with simple access procedures, the randomness of customers is substantial increase, and the mobile operators are facing on the huge problem of customers churn. Therefore, predict churn has become an urgently needed of mobile communication enterprises. On this need the investigation of predictive system of China Mobile churn based on Data Mining introduced in this paper.The main research of this paper is application of Support Vector Machine (SVM) algorithm in the mobile communications enterprises churn prediction. According to the churn data which is imbalance and have three classes, the class weighted SVM model CW-SVM is applied, an improved SVM- DAG-SVM+CW-SVM was presented to predict churner, which was better arithmetic performance than 1-V-R SVM , 1-V-1 SVM , DAG-SVM. It was demonstrated that this algorithm was suitable for solving multi-class data and imbalanced data with higher precision.