Customer Churn Analysis for Telecom Operators Based on SVM

Customer churn prediction is important for telecom operators to retain valuable users. Accurate features that can characterize customer behaviors, as well as efficient extraction method are key factors in constructing the customer churn analysis model. In literature, Support Vector Machine (SVM) has shown its applicability to the problem of customer churn analysis. This paper identifies the main features that influence the customer churn model from telecom experts' viewpoints, and proposes a suitable one based on Support Vector Machine (SVM). An experimental results also is illustrated to verify reasonableness of the proposed models.