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Prediction of User Browsing Behavior Using Web Log Data

Authors(2):

Abhishek Chauhan, Sandhaya Tarar
  • Abstract
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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.

Abhishek Chauhan, Sandhaya Tarar

Web Usage Mining, Web Log, User Browsing Behavior.

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Publication Details

Published in : Volume 2 | Issue 1 | January-Febuary - 2016
Date of Publication Print ISSN Online ISSN
2016-02-19 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
419-422 IJSRSET1621108   Technoscience Academy

Cite This Article

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-Febuary-2016.
URL : http://ijsrset.com/IJSRSET1621108.php

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