Web usage mining based on fuzzy clustering in identifying target group

Author

Zhang, Jianxi ; Zhao, Peiying ; Shang, Lin ; Wang, Lunsheng

Author_Institution

Shandong Inst. of Commerce & Technol., Jinan, China

Volume

4

fYear

2009

fDate

8-9 Aug. 2009

Firstpage

209

Lastpage

212

Abstract

Data mining focuses on the techniques of non-trivial extraction of implicit, previously unknown, and potentially useful information from very large amounts of data. Web mining can be defined simply as the application of data mining techniques to Web data. Web usage mining (WUM) is an important category in Web mining. Web usage mining is an important and fast developing area of Web mining where a lot of research has been done already. We improved the fuzzy clustering algorithm to find groups which share common interests and behaviors by analyzing the data collected in Web servers.

Keywords

Internet; bank data processing; customer relationship management; data mining; information retrieval; marketing data processing; pattern clustering; Internet banking; WUM; Web data mining technique; Web server; Web usage mining; customer relationship management; fuzzy clustering algorithm; marketing; nontrivial information extraction; target group identification; Clustering algorithms; Communication system control; Data mining; Fuzzy control; Information analysis; Internet; Technology management; Web mining; Web pages; Web server;

fLanguage

English

Publisher

ieee

Conference_Titel

Computing, Communication, Control, and Management, 2009. CCCM 2009. ISECS International Colloquium on

Conference_Location

Sanya

Print_ISBN

978-1-4244-4247-8

Type

conf

DOI

10.1109/CCCM.2009.5267789

Filename

5267789