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A Survey of GA based Clustering and Biclustering Approach in Web Usage Mining

Author(s):

Mehul Barot , KSV University, Gandhinagar, India; Raval Pratiksha M., KSV University, Gandhinagar, India

Keywords:

Web Usage Mining, Recommender system, Target Marketing Clustering, Biclustering.

Abstract

The World Wide Web contains an increasing amount of websites which in turn contains increasing number of web pages. When a user visits a new website he/she has to go through large number of web pages to meet their requirements. Web usage mining is the process of extracting useful knowledge from the server logs. This useful knowledge can be applied to target marketing and in the design of web portals. A Recommender system is one of the best web usage mining Application which reduces the difficulties faced by the users to meet their requirements .It recommends the pages of interest to the user. This survey paper includes the survey of different clustering and biclustering techniques. Also we will discuss the biclustering approach which has some advantages over the traditional clustering approach.

Other Details

Paper ID: IJSRDV1I10053
Published in: Volume : 1, Issue : 10
Publication Date: 01/01/2014
Page(s): 2272-2274

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