Performance Evaluation of Churn Customer Behavior based on Hybrid Algorithm

Review on Prediction of Churn Customer Behavior

Customer churn prediction by hybrid neural networks

A Fuzzy Rule-Based Learning Algorithm for Customer Churn Prediction

Customer churn has emerged as a critical issue for Customer Relationship Management and customer retention in the telecommunications industry, thus churn prediction is necessary and valuable to retain the customers and reduce the losses. Recently rule-based classification methods designed transparently interpreting the classification results are preferable in customer churn prediction. However ...

Hybrid Models Using Unsupervised Clustering for Prediction of Customer Churn

In this paper, we use two-stage hybrid models consisting of unsupervised clustering techniques and decision trees with boosting on two different data sets and evaluate the models in terms of top decile lift. We examine two different approaches for hybridization of the models for utilizing the results of clustering based on various attributes related to service usage and revenue contribution of ...

evaluation of keratinized on overdenture implant success

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