Based upon the traditional lifetime value,it reflects customer risk relationsip with beta,and uses risk-adjusted lifetime value as a standard to choose customers instead of the traditional lifetime value.

The Early Warning System Design of Customer Churn Based on Data Mining in Mobile Telecommunication Industry;

Model of customer churn prediction on support vector machine;

Application of survival analysis in the customer churn of SP enterprise;

At present, it s possible to use the technology of data mining to realize the analysis of customer-churn along with banks pile up a great deal of data and buildup data warehouse.

Research on the Application Prediction of Cell Phone Churn based on Support Vector Machine;

A Solution for Churn Management of Telecommunication Company Based on Data Miming Technology;

By employing data mining technology, we can: First, build a prediction model for Chum; Then, use the model to analyze why customers Churn and which customers are most likely to Churn in the future; Finally, make e make better target recruitment campaigns by summarizing customer s calling behavior.

Analysis of customer loss in ebusiness bassed on B to C;

Analysis of Customer Loss on Basis of Business Analytical System;

A real-evidence analysis about pertinence marketing results to a telecom increment service is performed from two views under the guidance of the customer loss dangerous degree models by use of data mining technology,in coordination with test design idea,adopting multi analysis method.