Research on the Application of Data Mining to Customer Relationship Management in the Mobile Telecommunications Industry

Author

Zhang Junsheng ; Bai Ming

Author_Institution

Sch. of Comput. & Commun. Eng., Tianjin Univ. of Technol., Tianjin, China

fYear

2011

fDate

16-18 Aug. 2011

Firstpage

1

Lastpage

4

Abstract

Market competition of the domestic mobile communications industry is increasingly fierce ,with more emphasis on customer centered perfect customer relationship management (CRM), data mining technology has been applied to telecommunications industry.This article applies Iterative Self-organizing Data Analysis Techniques Algorithm (ISODATA) in clustering analysis of the data mining and the telecommunications field, the results show the feasibility of the clustering algorithm.

Keywords

customer relationship management; data analysis; data mining; mobile communication; mobile computing; pattern clustering; telecommunication industry; CRM; clustering analysis; customer relationship management; data mining technology; domestic mobile communications industry; iterative self-organizing data analysis techniques; market competition; mobile telecommunications industry; telecommunications field; Clustering algorithms; Customer relationship management; Data mining; Ground penetrating radar; Industries; Mobile communication; Telecommunications;

fLanguage

English

Publisher

ieee

Conference_Titel

Internet Technology and Applications (iTAP), 2011 International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-7253-6

Type

conf

DOI

10.1109/ITAP.2011.6006233

Filename

6006233