Churn prediction in telecom using Random Forest and PSO based data balancing in combination with various feature selection strategies
Classification of Imbalance Data using Tomek Link(T-Link) Combined with Random Under-sampling (RUS) as a Data Reduction Method
Churn Reduction in the Wireless Industry
Comparing Oversampling Techniques to Handle the Class Imbalance Problem: A Customer Churn Prediction Case Study
Customer Churn Prediction Based on SVM-RFE
Predicting Customer Churn in Telecom Industry using Multilayer Preceptron Neural Networks : Modeling and Analysis