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Web Usage Mining for Discovery and Evaluation of Online Navigation Pattern Prediction

by Pradnya Mehta, Shailaja B. Jadhav, R. B. Joshi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 91 - Number 4
Year of Publication: 2014
Authors: Pradnya Mehta, Shailaja B. Jadhav, R. B. Joshi
10.5120/15870-4815

Pradnya Mehta, Shailaja B. Jadhav, R. B. Joshi . Web Usage Mining for Discovery and Evaluation of Online Navigation Pattern Prediction. International Journal of Computer Applications. 91, 4 ( April 2014), 23-26. DOI=10.5120/15870-4815

@article{ 10.5120/15870-4815,
author = { Pradnya Mehta, Shailaja B. Jadhav, R. B. Joshi },
title = { Web Usage Mining for Discovery and Evaluation of Online Navigation Pattern Prediction },
journal = { International Journal of Computer Applications },
issue_date = { April 2014 },
volume = { 91 },
number = { 4 },
month = { April },
year = { 2014 },
issn = { 0975-8887 },
pages = { 23-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume91/number4/15870-4815/ },
doi = { 10.5120/15870-4815 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:11:54.035587+05:30
%A Pradnya Mehta
%A Shailaja B. Jadhav
%A R. B. Joshi
%T Web Usage Mining for Discovery and Evaluation of Online Navigation Pattern Prediction
%J International Journal of Computer Applications
%@ 0975-8887
%V 91
%N 4
%P 23-26
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Web mining is combination of two activated research areas Data Mining and World Wide Web. Web mining is used for mining the interested knowledge from World Wide Web. Web usage mining is used to discover the user access patterns from web server log files. The first step of web usage mining called as data pre-processing used for gaining an accurate web log mining results and good quality input data. The session identification is accomplished by time oriented heuristics. The focus is on referrer log which will which contain information about referrer page of the current page. An efficient approach for discovery of navigation pattern can be done by density based clustering algorithm. An online navigation pattern prediction is proposed by use of K nearest neighbor algorithm along with inverted index concept. The prediction accuracy of patterns can be increased by modifying TF-IDF values to include time spent on page.

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Index Terms

Computer Science
Information Sciences

Keywords

Web usage mining User session analysis Log File Analysis Indexing and cluster analysis

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