Web Usage Mining with Personalization on Social Web
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International Journal of Engineering Trends and Technology (IJETT) | 
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| © 2015 by IJETT Journal | ||
| Volume-29 Number-6 |
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| Year of Publication : 2015 | ||
| Authors : Rutvija Pandya |
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| DOI : 10.14445/22315381/IJETT-V29P260 |
Citation
Rutvija Pandya"Web Usage Mining with Personalization on Social Web", International Journal of Engineering Trends and Technology (IJETT), V29(6),325-328 November 2015. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Abstract
web mining is the technique to extract
the useful knowledge from web. For mining the web,
three categories -Web Content Mining, Web
Structure Mining and Web Usage Mining is used.
Web usage mining is used to discover interesting
patterns from the web server log files. These user
navigation patterns can be applied to many realworld
problems, such as improving Web sites,
product recommendations, user or customer
behaviour studies, etc. Web Personalization is the
area of the Web usage mining. Web personalization
is defined as suitable content delivery to a particular
user and takes the advantage of that knowledge to
manipulate how and what information you present to
your users. In this paper, we describe web usage
mining techniques. The research also represents web
personalization techniques in Social media.
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Study of Web Usage Mining Applications and its Future Trends
1 D. Uma Maheswari, 2 Dr. A. Marimuthu D.Uma Maheswari,
Research Scholar,Karpagam University,Coimbatore, Tamil Nadu.
Dr. A. Marimuthu, Associate Professor, Department of Computer
Science, Government Arts College, Coimbatore. Tamil Nadu
Keywords
Usage Mining, Pattern Analysis, Content
Mining, Structure Mining, Personalization.