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Web Log Mining using K-Apriori Algorithm

by Ashok Kumar D, Loraine Charlet Annie M.c.
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 41 - Number 11
Year of Publication: 2012
Authors: Ashok Kumar D, Loraine Charlet Annie M.c.
10.5120/5584-7820

Ashok Kumar D, Loraine Charlet Annie M.c. . Web Log Mining using K-Apriori Algorithm. International Journal of Computer Applications. 41, 11 ( March 2012), 16-20. DOI=10.5120/5584-7820

@article{ 10.5120/5584-7820,
author = { Ashok Kumar D, Loraine Charlet Annie M.c. },
title = { Web Log Mining using K-Apriori Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { March 2012 },
volume = { 41 },
number = { 11 },
month = { March },
year = { 2012 },
issn = { 0975-8887 },
pages = { 16-20 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume41/number11/5584-7820/ },
doi = { 10.5120/5584-7820 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:29:18.554732+05:30
%A Ashok Kumar D
%A Loraine Charlet Annie M.c.
%T Web Log Mining using K-Apriori Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 41
%N 11
%P 16-20
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Web log mining is a data mining technique which extracts useful information from the World Wide Web's (WWW) client usage details. Automated data gathering has resulted in extremely large information about web access and it can be represented in binary form. A novel method called K-Apriori algorithm is proposed here, to find the frequently accessed web pages from the very large binary weblog databases. Experimental results show that the proposed method has shows higher performance in terms of objectivity and subjectivity.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Wiener Transformation K-apriori Web Mining

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