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