Churn Prediction in Customer Relationship Management via GMDH-Based Multiple Classifiers Ensemble

摘要

Customer churn prediction is an important problem in customer relationship management. Experimental results from a novel multiple classifiers ensemble selection model based on the group method of data handling (GMDH) are encouraging.