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Reseach Article

Matrix based Fuzzy Clustering for Categorization of Web Users and Web Pages

by G. Sudhamathy, C. Jothi Venkateswaran
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 43 - Number 14
Year of Publication: 2012
Authors: G. Sudhamathy, C. Jothi Venkateswaran
10.5120/6175-8602

G. Sudhamathy, C. Jothi Venkateswaran . Matrix based Fuzzy Clustering for Categorization of Web Users and Web Pages. International Journal of Computer Applications. 43, 14 ( April 2012), 43-47. DOI=10.5120/6175-8602

@article{ 10.5120/6175-8602,
author = { G. Sudhamathy, C. Jothi Venkateswaran },
title = { Matrix based Fuzzy Clustering for Categorization of Web Users and Web Pages },
journal = { International Journal of Computer Applications },
issue_date = { April 2012 },
volume = { 43 },
number = { 14 },
month = { April },
year = { 2012 },
issn = { 0975-8887 },
pages = { 43-47 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume43/number14/6175-8602/ },
doi = { 10.5120/6175-8602 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:33:27.015947+05:30
%A G. Sudhamathy
%A C. Jothi Venkateswaran
%T Matrix based Fuzzy Clustering for Categorization of Web Users and Web Pages
%J International Journal of Computer Applications
%@ 0975-8887
%V 43
%N 14
%P 43-47
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Categorization of Web Users and Web Pages are the fundamental tasks of Web Personalization. In this paper it is proposed a Matrix Based Fuzzy Clustering Approach MBFCA and experimentally evaluated the approach for the effective discovery of web user clusters and web page clusters. The use of MBFCA enables the generation of clusters that can capture the Web user's navigation behavior based on their interest. In web usage analysis, many a times there are no sharp boundary between clusters. Hence fuzzy clustering is better suited for Web Usage Mining. Experimental results presented, the clusters generated by applying MBFCA, are intended to be used to make recommendations by suggesting interesting links to the user.

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Index Terms

Computer Science
Information Sciences

Keywords

Web Usage Mining Web Logs Clustering Web Personalization Fuzzy Logic Matrix Based Fuzzy Clustering