Churn Analysis Model of Securities Business Based on the Decision Tree

Author

Guo, Lanshen ; Zhang, Minglu ; Sun, Lixin ; Wang, Zhong

Author_Institution

Sch. of Mech. Eng., Hebei Univ. of Technol., Tianjin

Volume

2

fYear

0

fDate

0-0 0

Firstpage

6048

Lastpage

6051

Abstract

This paper describes the importance and definition of churn analysis of securities business. According to the RFM model of CRM theory and decision tree method, churn analysis model of securities business is set up based on data mining from securities history trading database. In order to simplify the structure of decision tree, optimal stopping method is selected as a tree pruning strategy. Through the above analysis, we propose RFM-ROI model that return of investment is included as a very important index that can discover the customer profit and loss in securities trading

Keywords

commerce; customer relationship management; data mining; decision trees; securities trading; CRM theory; RFM-ROI model; churn analysis; customer profit discovering; data mining; decision tree; optimal stopping method; securities business; securities history trading database; securities trading loss; tree pruning strategy; Companies; Consumer electronics; Data mining; Data security; Decision trees; Frequency; History; Information security; Mechanical engineering; Sun; Churn analysis model; Decision tree; RFM model; Securities business;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1714241

Filename

1714241