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Indirect Positive and Negative Association Rules in Web Usage Mining

by Dhaval Patel, Malay Bhatt
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 69 - Number 24
Year of Publication: 2013
Authors: Dhaval Patel, Malay Bhatt
10.5120/12121-8372

Dhaval Patel, Malay Bhatt . Indirect Positive and Negative Association Rules in Web Usage Mining. International Journal of Computer Applications. 69, 24 ( May 2013), 26-30. DOI=10.5120/12121-8372

@article{ 10.5120/12121-8372,
author = { Dhaval Patel, Malay Bhatt },
title = { Indirect Positive and Negative Association Rules in Web Usage Mining },
journal = { International Journal of Computer Applications },
issue_date = { May 2013 },
volume = { 69 },
number = { 24 },
month = { May },
year = { 2013 },
issn = { 0975-8887 },
pages = { 26-30 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume69/number24/12121-8372/ },
doi = { 10.5120/12121-8372 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:31:13.605562+05:30
%A Dhaval Patel
%A Malay Bhatt
%T Indirect Positive and Negative Association Rules in Web Usage Mining
%J International Journal of Computer Applications
%@ 0975-8887
%V 69
%N 24
%P 26-30
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

One of the purposes of Web usage mining is to find out interesting user association rules from web server logs. It has become vital for personalization, effective web site management, business and support services, creating adaptive web sites, and so on. In the web domain, items correspond to pages and transactions to user sessions. Indirect associations, type of infrequent pattern provide useful insight into the data. The concept of indirect association is to indirectly connect two rarely co-occurred pages via a third page called transitive page. Mining positive and negative association rules in web usage data become a hot spot. So, these all information leads find new approach for discovering efficient rules for web. Indirect positive and Negative Association Rules are discussed here which can be used for Web Recommendation, personalization etc. Mining indirect positive and negative association rules for the web is explored very little so far in the research work. The presented Proposed Approach of algorithm is to extract the positive and negative association rules from web session log file and then discover the indirect positive and negative association rules from it.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Association Rules Indirect Association Rules Positive and Negative Association Rules Preprocessing Web Usage Mining

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