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Web Usage Mining Through FP Split and APRIORI Algorithm

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File Size:
741.54 kB
Volume:
Volume 2, Issue 9 (September, 2016)
Publication No:
IJTC201609001
Author:
Manjot Kaur, Rupinder Kaur Gurm
Downloads:
66 x

Abstract:
In the recent years the explosive growth of WWW has turned the web into the largest source for available online data. Situations such as several unrelated topics in a single web page may lead to confusion and make it harder to reach to the information that the visitors are looking for. The design of whole website (structure, usability, interface, content, etc.) is one of the most important aspects for an institution that want to survive in the cyberspace. Understanding the way users browse the website and finding out which of them is the most frequently used link and pattern for using the features available in the site is also a must. It is a novel technique to use APRIORI algorithm for the same (i.e. weblog/web usage mining). All this information is available online but is hidden from the users. This research work uses web usage mining (WUM) Apriori and FP Growth based approach for analyzing the visitor’s browsing behaviour.

Indexed Terms:
APRIORI, WWW, Web Mining, Cyberspace, Mining

Tags Associated: APRIORI WWW, Web Mining Cyberspace