Research on T-bridge Algorithm of Web Session Fuzzy Clustering

Author

Zhao, Zixiang ; Bai, Kun

Author_Institution

Dept. of Inf. Sci. & Technol., Da Lian Maritime Univ., Dalian

fYear

2008

fDate

18-21 Oct. 2008

Firstpage

331

Lastpage

335

Abstract

Clustering Web session is an important aspect of Web usage mining. In this paper, we propose a new algorithm of Web session fuzzy clustering, which applies the t-bridge algorithm to fuzzy equivalence matrix clustering algorithm. This algorithm is proved to have better accuracy, fewer CPU time and better scalability than others by the experiments.

Keywords

Internet; data mining; fuzzy set theory; matrix algebra; pattern clustering; Web session fuzzy clustering; Web usage mining; clustering Web session; fuzzy equivalence matrix clustering algorithm; t-bridge algorithm; Clustering algorithms; Clustering methods; Data mining; History; Information science; Navigation; Parallel processing; Scalability; Web pages; Web server; Web session; fuzzy clustering; t-bridge algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Network and Parallel Computing, 2008. NPC 2008. IFIP International Conference on

Conference_Location

Shanghai

Print_ISBN

978-0-7695-3354-4

Type

conf

DOI

10.1109/NPC.2008.93

Filename

4663347

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3244617