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Mining Association Rules from Web Logs by Incorporating Structural Knowledge of Website

by Bhawna Nigam, Suresh Jain, Sanjiv Tokekar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 42 - Number 11
Year of Publication: 2012
Authors: Bhawna Nigam, Suresh Jain, Sanjiv Tokekar
10.5120/5737-7919

Bhawna Nigam, Suresh Jain, Sanjiv Tokekar . Mining Association Rules from Web Logs by Incorporating Structural Knowledge of Website. International Journal of Computer Applications. 42, 11 ( March 2012), 17-23. DOI=10.5120/5737-7919

@article{ 10.5120/5737-7919,
author = { Bhawna Nigam, Suresh Jain, Sanjiv Tokekar },
title = { Mining Association Rules from Web Logs by Incorporating Structural Knowledge of Website },
journal = { International Journal of Computer Applications },
issue_date = { March 2012 },
volume = { 42 },
number = { 11 },
month = { March },
year = { 2012 },
issn = { 0975-8887 },
pages = { 17-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume42/number11/5737-7919/ },
doi = { 10.5120/5737-7919 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:31:04.396100+05:30
%A Bhawna Nigam
%A Suresh Jain
%A Sanjiv Tokekar
%T Mining Association Rules from Web Logs by Incorporating Structural Knowledge of Website
%J International Journal of Computer Applications
%@ 0975-8887
%V 42
%N 11
%P 17-23
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

One of the basic problems with the Association Rule discovery is that when Mining Algorithms are applied on Web Access Logs, the total number of generated rules is found to be very large. For finding useful results from these rules, the analyzer needs to look into large rule-set. Moreover, the analysis of such rule-set also requires certain criteria for making decisions, i. e. a particular rule should be accepted or not. This ambiguity of acceptance or rejection of rules makes it very difficult to extract knowledge. Hence in order to get effective results with the minimized effort, number of rules should be less and valid. Therefore, the structural knowledge of Website is considered to solve the purpose, that plays an important role in pruning the invalid rules, thereby reducing the size of rule-set , and it is observed from the experiment that the number of rules have been successfully reduced.

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Index Terms

Computer Science
Information Sciences

Keywords

Association Rules Weblog Web Usage Mining Website Structure Trails Or Navigation Session Bfs(breadth First Search)

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