Title :
Analysis of the business customer churn based on decision tree method
Author :
Ma, Hongxia ; Qin, Min ; Wang, Jianxia
Author_Institution :
Coll. of Inf. Sci. & Eng., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
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.
Keywords :
business data processing; data mining; decision trees; business customer churn; customer relationships; data mining; decision tree method; Classification tree analysis; Companies; Consumer electronics; Customer relationship management; Data analysis; Data mining; Decision trees; Information analysis; Information entropy; Instruments; Customer churn; data mining; decision tree; information entropy;
Conference_Titel :
Electronic Measurement & Instruments, 2009. ICEMI '09. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3863-1
Electronic_ISBN :
978-1-4244-3864-8
DOI :
10.1109/ICEMI.2009.5274712