Fuzzy Clustering Model of CRM in Securities Trade

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

6052

Lastpage

6054

Abstract

This paper applies fuzzy clustering theory to customer relationship management of securities industry and presents securities business model of CRM. The model includes two layers. First, in class classification layer, fuzzy clustering model is used to realize customer classification according to such index as trading frequency, trading capacity and interest balance. Second, in group classification layer, according to customers´ operating style, dynamic Bayes model is adopted in order to grouping customer. The securities business model and its fuzzy customer clustering methods have been applied in CITIC Securities Co. Ltd and have achieved successful effect on customer service

Keywords

Bayes methods; business data processing; customer relationship management; data mining; fuzzy set theory; pattern classification; pattern clustering; securities trading; class classification layer; customer classification; customer relationship management; data mining; dynamic Bayes model; fuzzy clustering theory; fuzzy customer clustering; group classification; securities business model; securities industry; securities trade; Clustering methods; Companies; Customer relationship management; Data mining; Data security; Frequency; Information security; Mechanical engineering; National security; Sun; CRM; Data mining; Fuzzy clustering; 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.2006.1714242

Filename

1714242