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User Browsing Behavior Prediction using Web Log Analysis

Author(s):

Priyanka Soni , RKDF SCHOOL OF ENGINEERING, INDORE(M.P.) ; Prof. Rasna Sharma, RKDF School of Engineering, Indore

Keywords:

Web Usage Mining, Personalization, Recommendation, Clustering

Abstract

Web usage mining is widely used to discover the usage patterns from web log files. It deals with web log data which are taken from web servers, proxy server or client’s cache. By analyzing user’s browsing behavior, next web page prediction can be made. Various types of mining algorithms proposed over the years based on different techniques. But prediction of future request of the user mainly concern with its accuracy and efficiency. This survey describes various aspects of Web mining techniques and various issues related to Web usage mining. Along with it, a proposed work is there which addresses some of the core issues of Prediction techniques along with their solutions.

Other Details

Paper ID: IJSRDV5I41497
Published in: Volume : 5, Issue : 4
Publication Date: 01/07/2017
Page(s): 2058-2061

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