Study on Predictive Model of Customer Churn of Mobile Telecommunication Company

摘要：

This paper first confines and analyzes the meaning of churn management in a mobile telecommunication industry and key influencing factors, designs a new prediction model to deal with the churn management of mobile telecommunication company through data mining based on several the conventional algorithms of data mining. and then describes the whole process to use predictive model to solve a churn management problem by an case come from industry company. Based on SAS Enterprise Miner to design predictive model for churn management, which will provides a foundation to predict the data of customer churn and lower the rates of churns.

关键词： Customer Churn Data Mining Predictive Model

作者: Chen Yu-bao Li Bao-sheng Ge Xin-quan

作者单位: School of Economics and Management, Beijing Information Science& Technology UniversityBeijing, 10019 Dept of Economics and Management, College Century, Beijing University of Post and Telecommunication

会议类型: 国际会议

会议名称: 2011 Fourth International Conference on Business Intelligence and Financial Engineering(第四届商务智能与金融工程国际会议 BIFE2011)

会议地点: 武汉

会议语种:英文

页码: 114-117

在线出版日期: 2011-10-17（万方平台首次上网日期，不代表论文的发表时间）