Transformation radial basis neural network for relevant feature selection
Pattern Recognition Letters
Automated Cellular Modeling and Prediction on a Large Scale
Artificial Intelligence Review - Issues on the application of data mining
Customer Retention via Data Mining
Artificial Intelligence Review - Issues on the application of data mining
Predicting Customer Behavior in Telecommunications
IEEE Intelligent Systems
Expert Systems with Applications: An International Journal
A novel evolutionary data mining algorithm with applications to churn prediction
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Neural Networks
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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.