Analysis of the business customer churn based on decision tree method

Abstract

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.