Applied Research, Data Mining In Telecom Customer Churn

With the progress of data mining technology, the importance of the data mining is approved by more and more person. It make use of passed data to find out the underling business rule by the way of the establishing mathematics model.In other countrys many fields have successful applications with the data mining.For example, in the telecommunication fields there are the customer relation management, the customer cheats analysis, the customer lose analysis, the customer consume analysis, the market expands analysis etc..In our country with the focus of data mining,data mining's application and research will be more wide. The prediction of customer churn in telecommunication is a bit hot.The analysis of the prediction of customer churn is to analyse the losed customer's history data to find out their characters for leaving which help the telecommunication compay to early adopt measure,then reduce customer churning.It has important meaning for the telecommunication compay.The purpose of this topic is to predict the customer churning in telecommunicaiton by the data mining technology.This paper make use of the PHS's history data to establish an customer churning model. The main contents include:1. Introduced the theories of data mining technology.Analyse and research the decision tree's arithmetic and the artificial nerve network's arithmetic.2. Discussed the process model of data mining, the software using in data mining analysis, and the Clementine software of SPSS company.3. Describe in details the process of establish the model of the predication of customer churning of PHS(Personal Handy phone System).The first result of this topic is to analyse the PHS's data characteristic.The second result is succeed to establish the data model.I believe that with the progress of data mining technology more and more valuable customer's information will be found, and direct the telecommunication compay to make business decision.