Prediction of User Browsing Behavior Using Web Log Data

Authors

  • Abhishek Chauhan  Gautam Buddha University, Uttar Pradesh, India
  • Sandhaya Tarar  Gautam Buddha University, Uttar Pradesh, India

Keywords:

Web Usage Mining, Web Log, User Browsing Behavior.

Abstract

Web usage mining is one of the applications of data mining techniques to discover usage patterns from web log data. It deals with log files for excerpting the useful information about user browsing behavior or we can say that it is the process of finding out what users are looking for on internet. When the user accesses to any websites, all the user’s browsing behavior activities are stored in web log server. With the help of web usage mining various research had been done in this field but this paper deals with the prediction of user browsing behavior using web log data. This paper is not only provide the overview of current and past techniques used by authors to curtail the search time of user on the network but also provide the limitation on their research work.

References

  1. Vrishali P. Sonavane,”Study And Implementation Of LCS Algorithm For Web Mining”, International     Journal of Computer Science Issues, Vol. 9, Issue 2, No 3, March 2012.
  2. Mathias Gery, Hatem Haddad ,“Evaluation of Web Usage Mining  Approaches for User’s Next  Request Prediction” WIDM‟03 Proceedings of the 5th ACM international workshop on web information and data management p.74-81, November 7-8,2003.
  3. Vedpriya Dongre, Jagdish Raikwal ,”An improved user browsing behavior prediction using web log analysis”, International Journal of Advanced Research in Computer Engineering and technology (IJARCET), Vol. 4, Issue 5, , May 2015.
  4. R.Khanchana and M. Punithavalli, “Web Usage Mining for Predicting Users’ Browsing Behaviors by using FPCM Clustering”, IACSIT International Journal of Engineering and Technology, Vol. 3, No. 5, October 2011.
  5. M. Jalali, N. Mustapha et al ,” WebPUM: A Web-based recommendation system to predict user future movements”, in international journal Expert Systems with Applications 37 (2010) 6201–6212 .
  6. YanRong Zhang1 and ZhiJie Zhao,” Study on Consumer Behavior Predict in E-commerce Based on Multi-Agent “,International Journal of u- and e- Service, Science and Technology Vol. 7, No. 6 (2014), pp. 403-412.

International Journal of Scientific Research in Science, Engineering and Technology

Downloads

Published

2016-02-19

Issue

Volume 2, Issue 1, January-February-2016

Section

Research Articles

License

Copyright (c) IJSRSET

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Abhishek Chauhan, Sandhaya Tarar, " Prediction of User Browsing Behavior Using Web Log Data, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 1, pp.419-422, January-February-2016.