WEB PAGE CLUSTERING USING SELF-ORGANIZING MAP?
Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.4, No. 1)Publication Date: 2015-01-30
Authors : A.M.Sote; S.R.Pande;
Page : 78-84
Keywords : Clustering; Self-Organising Map; Web Log File; Web Usage Mining;
Abstract
The continuous growth in the size and use of the Internet is creating difficulties in the search for information. A sophisticated method to organize the layout of the information and assist user navigation is therefore particularly important. In this paper, we evaluate the feasibility of using a self-organizing map (SOM) to mine web log data and provide a visual tool to assist user navigation. The organization of the web pages is based solely on the user’s navigation behaviour, rather than the content of the web pages. The resulting map not only provides a meaningful navigation tool (for web users) that is easily incorporated with web browsers, but also serves as a visual analysis tool for webmasters to better understand the characteristics and navigation behaviour of web users visiting their pages.
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Last modified: 2015-01-12 00:14:19