DocumentCode
3546085
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
fYear
2009
fDate
16-19 Aug. 2009
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICEMI.2009.5274712
Filename
5274712
Link To Document