A novel and convenient variable selection method for choosing effective input variables for telecommunication customer churn prediction model

Customer churn prediction model is hot research topic in recent years. Most of the researchers have paid much attention on how to construct novelist data mining algorithm for the prediction model, while less research concerns the choosing of input variables for the churn prediction model. This paper focuses on how to select effective input variables for the telecommunications customer churn model. We proposed a procedure to select the input variables step by step, and proved the effect by comparative experiment using the data from one telecom carrier.