Analysis of the Business Customer Churn Based on Decision Tree Method

摘要：

Customer churn analysis is a predictive analysis applying data mining technology. In this paper decision tree method of data mining technology is applied to analyze business customer churn to identify the customer churn characteristics and some of rules of the customer churn. Thus businesses can in a targeted manner to improve customer relationships. The experiment of customer churn analysis on decision tree is illustrated deliberately. It provides a new research ideas and analysis methods for business customer churn and early warning analysis.

关键词： Customer churn data mining decision tree information entropy.

作者: Hongxia Ma Min Qin Jianxia Wang

作者单位: College of Information Science and Engineering,Hebei University of Science and Technology Shijiazhuang 050018,China

会议类型: 国际会议

会议名称: 2009 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI2009)

会议地点: 北京

会议语种:英文

页码: 4046-4049

在线出版日期: 2009-08-16（万方平台首次上网日期，不代表论文的发表时间）