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

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International Journal of Scientific Research in Science, Engineering and Technology

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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.