A Survey on User Behaviour Prediction Using Web Server Log

Authors(3) :-Komal Anadkat, , Bakul Panchal

Web prediction is a classification problem in which we attempt to predict the next set of request that a user may make based on the knowledge of the previously visited pages. User behaviour prediction deals with collecting the web server logs, prepossess the data and analyze the pattern. The main goal of this process is to extract the useful pattern from raw data collection. Prepossessing contains cleaning the data, user identification and session identification which saves 80% of processing data. Web server log contains much useful information like server ip, time, date, error code, browser etc. there are various prediction models like n-gram session identification, association rule mining, markov model and support vector machine are available. Here comparison is done on the basis of accuracy, processing time and scalability.

Authors and Affiliations

Komal Anadkat
P.G. Student, Information Technology, L. D. Engineering College, Ahmedabad, Gujarat, India

Assistant Professor, Information Technology Department, L. D. Engineering College, Ahmedabad, Gujarat, India
Bakul Panchal

Prepossessing, Web Server Log, Association Rule Mining, Markov Model

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Publication Details

Published in : Volume 1 | Issue 5 | September-October 2015
Date of Publication : 2015-10-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 389-392
Manuscript Number : IJSRSET151589
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Komal Anadkat,, Bakul Panchal, " A Survey on User Behaviour Prediction Using Web Server Log, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 5, pp.389-392, September-October-2015.
Journal URL : http://ijsrset.com/IJSRSET151589

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