Model Based On Data Mining Technology Churn

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 modal.Data mining has been applied successfully in many fields in foreign conutries.Such as the customer relation management,the customer cheats analysis,the customer loss analysis,the customer consume analysis and the market expand 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 costomer 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 churn in time.It has important meaning for telecommunication companies to reduce their cose 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 provinces telecommunication data to establish a customer churning model based on data mining.It follows the standard procedures CRISP DM which contain business understanding,data understanding,data preparation,model building,model evaluation and results deployment,I try to details the process of model builing.Through establishing customer churning model and customer churning pre-alarm mechanism,the customers about to churning can be analyzed and be detained in time,to some extent,the rate of the price sensitive customer leaving net can drop.This study can offer positive application value for Telecom Corporation to research the customers churning.