Integration of Multiple Fuzzy Matrix _SOFM of Web Users Access Pattern Mining

Author

Duan, Long-Zhen ; Wang, Liang-Ming ; Zhu, Min

Author_Institution

Dept. of Comput. Sci. & Technol., NanChang Univ., Nanchang, China

Volume

1

fYear

2009

fDate

12-14 Dec. 2009

Firstpage

260

Lastpage

263

Abstract

When users visit Web, it has variety of evaluated factors, take these situations into account, structuring multiple fuzzy matrix, using several associated SOFM neural network being connected to carry out the study on the every evaluated factors, more accurate and scientific in Web mining user access patterns. Finally, using this algorithm in simulation experiment, to some extent, improved user access pattern mining Web accuracy and operational efficiency; through the simulation results prove that the algorithm is a relatively good clustering algorithm.

Keywords

Internet; data mining; fuzzy neural nets; fuzzy set theory; matrix algebra; self-organising feature maps; SOFM neural network; Web accuracy; Web user access pattern mining; clustering algorithm; multiple fuzzy matrix; operational efficiency; self-organising feature map; Clustering algorithms; Computational intelligence; Computer science; Electronic mail; Frequency; Fuzzy neural networks; Fuzzy sets; Neural networks; Web mining; Web pages; SOFM neural network; WEB user access pattern; evaluation factors; multiple fuzzy matrix;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Design, 2009. ISCID '09. Second International Symposium on

Conference_Location

Changsha

Print_ISBN

978-0-7695-3865-5

Type

conf

DOI

10.1109/ISCID.2009.72

Filename

5370908