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An Integrated Approach to Forecast the Future Requests of User by Weblog Mining

by Chintankumar S. Maisuriya, Vaibhav Gandhi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 121 - Number 5
Year of Publication: 2015
Authors: Chintankumar S. Maisuriya, Vaibhav Gandhi
10.5120/21536-4542

Chintankumar S. Maisuriya, Vaibhav Gandhi . An Integrated Approach to Forecast the Future Requests of User by Weblog Mining. International Journal of Computer Applications. 121, 5 ( July 2015), 18-21. DOI=10.5120/21536-4542

@article{ 10.5120/21536-4542,
author = { Chintankumar S. Maisuriya, Vaibhav Gandhi },
title = { An Integrated Approach to Forecast the Future Requests of User by Weblog Mining },
journal = { International Journal of Computer Applications },
issue_date = { July 2015 },
volume = { 121 },
number = { 5 },
month = { July },
year = { 2015 },
issn = { 0975-8887 },
pages = { 18-21 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume121/number5/21536-4542/ },
doi = { 10.5120/21536-4542 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:07:39.203106+05:30
%A Chintankumar S. Maisuriya
%A Vaibhav Gandhi
%T An Integrated Approach to Forecast the Future Requests of User by Weblog Mining
%J International Journal of Computer Applications
%@ 0975-8887
%V 121
%N 5
%P 18-21
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With the wide availability of information over the internet and amount of its' potential users' makes it challenging for service provider to make such relevant information available to users in a fast and personalized manner nowadays, resulting in decrease in the web performance. One way to tackle with this challenging issue is to use prediction or recommendation technique, which can make users to discover future offerings. Web Usage Mining is a discipline, where the navigational access behavior of users' over the web is tracked and scrutinized. By collecting and analyzing this behavior of user activities, websites owner can easily identify the web access patterns of its users'. The mining of user access logs could help to improve the performance of search engines, since users have a specific goal when searching for information. In this paper, an approach is proposed to get more accurate prediction results by using both bi-clustering and greedy search method. The predictions of users' future access requests will be made by this can improve the accuracy of results and will helps in order to reduce the search time.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Future Requests Prediction Pattern Discovery Users' Navigational Behavior Web Usage Mining.

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