Web Usage Mining with Personalization on Social Web
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2015 by IJETT Journal|
|Year of Publication : 2015|
|Authors : Rutvija Pandya
|DOI : 10.14445/22315381/IJETT-V29P260|
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
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.
 Agrawal R. and Srikant R. (2000).Privacy preserving
data mining, In Proc. of the ACM SIGMOD Conference on
Management of Data, Dallas, Texas, 439-450.
 Berners-Lee J, Hendler J, Lassila O (2001) The Semantic Web. Scientific American, vol. 184, pp34-43.
 Berendt B., Bamshad M, Spiliopoulou M., and Wiltshire J. (2001). Measuring the accuracy of sessionizers for web usage analysis, In Workshop on Web Mining, at the First SIAM International Conference on Data Mining, 7-14.
International Journal of Computer Applications (0975 – 8887) Volume 69– No.8, May 2013 39 Web Mining Techniques in ECommerce Applications Ahmad Tasnim Siddiqui College of Computers and Information Technology Taif University Taif, Kingdom of Saudi Arabia Sultan Aljahdali College of Com puters and Information Technology Taif University Taif, Kingdom of Saudi Arabia
K.S.R. Pavan Kumar et al, / (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 3 (5) , 2012,5276-5279 A Critique on Web Usage Mining ,K.S.R. Pavan Kumar V.V. Sreedhar L. Manoj Chowdary
A Social Network Based Approach to Personalized Recommendation of Participatory Media Content Aaditeshwar Seth and Jie Zhang School of Computer Science University of Waterloo, ON, Canada
 AN IMPLEMENTATION OF WEB PERSONALIZATION USING WEB MINING TECHNIQUES A.JEBARAJ RATNAKUMAR Professor and Head, Department of Computer Science and Engineering, Apollo Engineering College, Chennai, Tamil Nadu, India
New Approaches to Web Personalization, Ph.D. Thesis, Magdalini P. Eirinak, Athens University of Economics and Business Dept. of Informatics May 2006
 An Implementation on Web Log Mining Bhaiyalal Birla*, Sachin Patel IT & PCST, Indore India
 Personalization: Collaborative Filtering vs Prediction Based on Benefit Theory, November 05, 2007,
 International Journal of Information and Education Technology, Vol. 2, No. 5, October 2012 Web Personalization Using Web Mining: Concept and Research Issue
 International Journal of Engineering Research & Technology (IJERT) ISSN: 2278-0181Vol. 2 Issue 9, September - 2013A 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
Usage Mining, Pattern Analysis, Content Mining, Structure Mining, Personalization.