Construction of Bayesian Classifiers with GA for Predicting Customer Retention

In this paper, a novel Bayesian classifier model is constructed based on genetic algorithms (GA) for the prediction of customer churn. Experiment results have shown that it not only matches potential churning customers well from the large amount of validation data but also shows higher classifying precision compared with the other three Bayesian classifier models. Recently, the model has been adopted by a Japanese enterprise to successfully handle some business problems of potential churning customers prediction.