Loss Of Genetic Research, Data Mining-based Telecom Customers

With the progress of data mining technology, the importance of the data mining is approved by more and more persons. It makes use of passed data to find out the underling business rule by the way of the establishing mathematics model. Data mining has been applied successfully in many fields in foreign countries. For example, such as the customer relation management, the customer cheats analysis, the customer loss analysis, the customer consume analysis and the market expands analysis are applied widely in telecommunication field. The application and research of data mining will be wider as its importance is noted by more persons. The prediction of customer churn in telecommunication has been a focus problem in our country. The prediction of customer churn uses data mining technology to analyze the history data of lost customers to find out their characteristics and help the telecommunication company adopt proper measure to reduce customer churning in time. It has important meaning for telecommunication companies to reduce their cost and improve their achievement.The purpose of this paper is to predict the churn rate in telecommunication with data mining technology. This paper makes use of the PHS history data to establish a customer churning model based on data mining. The main contents of this paper are:1. Introduce the theories of data mining technology and analyze the decision tree's arithmetic and the artificial nerve network's arithmetic.2. Discuss the process model of data mining, the software used in data mining analysis and the Clementine software of SPSS Company.3. Describe the process of establishing the predication model of PHS customer churning in details.This topic got the results in two aspects: first we analyze the characteristics of PHS data and then we establish the data model successfully.It can be believed that with the progress of data mining technology, more valuable...