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Improve Efficiency of Web Pattern Analysis Through Web Mining

by Hemwati Kumawat, Vinesh Jain
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 85 - Number 10
Year of Publication: 2014
Authors: Hemwati Kumawat, Vinesh Jain
10.5120/14881-3312

Hemwati Kumawat, Vinesh Jain . Improve Efficiency of Web Pattern Analysis Through Web Mining. International Journal of Computer Applications. 85, 10 ( January 2014), 54-57. DOI=10.5120/14881-3312

@article{ 10.5120/14881-3312,
author = { Hemwati Kumawat, Vinesh Jain },
title = { Improve Efficiency of Web Pattern Analysis Through Web Mining },
journal = { International Journal of Computer Applications },
issue_date = { January 2014 },
volume = { 85 },
number = { 10 },
month = { January },
year = { 2014 },
issn = { 0975-8887 },
pages = { 54-57 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume85/number10/14881-3312/ },
doi = { 10.5120/14881-3312 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:02:08.007948+05:30
%A Hemwati Kumawat
%A Vinesh Jain
%T Improve Efficiency of Web Pattern Analysis Through Web Mining
%J International Journal of Computer Applications
%@ 0975-8887
%V 85
%N 10
%P 54-57
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In commercial and academic areas of Web usage mining techniques, the interest has been increased due to the information explosion in World Wide Web. Through web user navigation patterns, proposed a approach which predict users' future request that provide valuable information for web designers which quickly respond to their individual needs for the efficient organization of the website by mining the weblog files using Web weblog Expert and Universal Extractor. The approach is based on the combined mining to discover knowledge from web server log files which derive user navigation profiles and the contents of the retrieved web pages. The proposed algorithm implemented, and the system achieves the bandwidth of nearly 80% and the efficiency of about 75% of extracted log files, which is about 20% higher than original log files by mining Web server logs. This approach has been carried out in order to validate and facilitate better web personalization and website organization.

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Index Terms

Computer Science
Information Sciences

Keywords

web usage mining web content mining user navigation patterns weblog files

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