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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 5, ISSUE 4, APRIL 2016

Survey on Web Prediction Techniques

Rubab Sharma, Akanksha Sambya

DOI: 10.17148/IJARCCE.2016.54223

Abstract: As we know web usage mining is one of the application of data mining techniques which is used to find out user patterns from web log data. So for this, it contacts the log files for extracting the useful information from the internet. When the user interacts with any websites, then the user�s activities are automatically stored in web log server. Various researches had been proposed in this field but this paper shows the prediction of user browsing behaviour using web log data. This paper provides both the overview of current and past techniques used by different authors to reduce the searching time of user and also provide their research work limitations.



Keywords: Web Usage Mining, Web Log, User Browsing Behaviour.

How to Cite:

[1] Rubab Sharma, Akanksha Sambya, “Survey on Web Prediction Techniques,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2016.54223