Churn prediction in telecom using Random Forest and PSO based data balancing in combination with various feature selection strategies
Bayesian network classifiers for identifying the slope of the customer lifecycle of long-life customers
Two Modifications of CNN
Churn Prediction : Does Technology Matter ?
Prototype and Feature Selection by Sampling and Random Mutation Hill Climbing Algorithms
Learning from imbalanced data sets with boosting and data generation: the DataBoost-IM approach