PREDICTING USERS WITH SIMILAR BEHAVIOUR THROUGH SESSIONS

Authors

  • Reeny Zackarias M. Tech student, Computer Science and Engineering, IES College of Engineering, Thrissur, Kerala, India
  • Nicy K S Assistant Professor, Computer Science and Engineering, IES College of Engineering, Thrissur, Kerala, India.

Keywords:

Weblog mining, User Identification, Session Identification, Buyer Pattern.

Abstract

Weblog mining is the method to extract the user sessions from the given log files. Each user is identified
according to his/her IP address specified in the log file and corresponding user sessions are extracted. Server-side logs
and client-side logs are commonly used for web usage and usability analysis. Server-side logs are generated
automatically by every user when users click to the corresponding web servers. Weblog mining process includes three
process, namely data preprocessing, pattern analysis and pattern discovery. Data preprocessing includes 3 stages,
namely Data cleaning, User identification and Session identification. In this paper, we are implementing these three
processes and finding the users with same behaviour.

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Published

2017-03-25

How to Cite

Reeny Zackarias, & Nicy K S. (2017). PREDICTING USERS WITH SIMILAR BEHAVIOUR THROUGH SESSIONS. International Journal of Advance Engineering and Research Development (IJAERD), 4(3), 766–769. Retrieved from https://ijaerd.com/index.php/IJAERD/article/view/2188

Issue

Vol. 4 No. 3 (2017): Volume 4 Issue 3 March 2017

Section

Articles