An Efficient Method to Identify Users and Sessions from Web Logs

R. Umagandhi, Dr.A.V.Senthil Kumar

Abstract


Web log files are created by the web server when the user accesses the web site. Web usage mining is a classification of web mining used to discover the web usage patterns from the web log file. The Web log files are processed to determine the web users, URLs that the users are accessed frequently, the time spent by the user in each session and the complete path of the web page. In this paper, we propose the algorithms to merge the log files from different servers, clean the merged web log file, and identify the users and to generate the sessions for each user.

Keywords: web log file; merged log file; processing; user identification; session identification


Full Text:

PDF


DOI: https://doi.org/10.26483/ijarcs.v3i2.1034

Refbacks

  • There are currently no refbacks.




Copyright (c) 2016 International Journal of Advanced Research in Computer Science