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Page Ranking Algorithms for Web Mining

by Rekha Jain, Dr. G. N. Purohit
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 13 - Number 5
Year of Publication: 2011
Authors: Rekha Jain, Dr. G. N. Purohit
10.5120/1775-2448

Rekha Jain, Dr. G. N. Purohit . Page Ranking Algorithms for Web Mining. International Journal of Computer Applications. 13, 5 ( January 2011), 22-25. DOI=10.5120/1775-2448

@article{ 10.5120/1775-2448,
author = { Rekha Jain, Dr. G. N. Purohit },
title = { Page Ranking Algorithms for Web Mining },
journal = { International Journal of Computer Applications },
issue_date = { January 2011 },
volume = { 13 },
number = { 5 },
month = { January },
year = { 2011 },
issn = { 0975-8887 },
pages = { 22-25 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume13/number5/1775-2448/ },
doi = { 10.5120/1775-2448 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:01:56.951555+05:30
%A Rekha Jain
%A Dr. G. N. Purohit
%T Page Ranking Algorithms for Web Mining
%J International Journal of Computer Applications
%@ 0975-8887
%V 13
%N 5
%P 22-25
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

As the web is growing rapidly, the users get easily lost in the web’s rich hyper structure. The primary goal of the web site owner is to provide the relevant information to the users to fulfill their needs. Web mining technique is used to categorize users and pages by analyzing users behavior, the content of pages and order of URLs accessed. Web Structure Mining plays an important role in this approach. In this paper we discuss and compare the commonly used algorithms i.e. PageRank, Weighted PageRank and HITS.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Web Mining Web Content Mining Web Structure Mining Web Usage Mining PageRank Weighted PageRank HITS