PREDICTING USERS WITH SIMILAR BEHAVIOUR THROUGH SESSIONS
| Author(s) | : | Reeny Zackarias, Nicy K S |
| Institution | : | M. Tech student, Computer Science and Engineering, IES College of Engineering, Thrissur, Kerala, India |
| Published In | : | Vol. 4, Issue 3 — March 2017 |
| Page No. | : | 766-769 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Weblog mining is the method to extract the user sessions from the given log files. Each user is identifiedaccording to his/her IP address specified in the log file and corresponding user sessions are extracted. Server-side logsand client-side logs are commonly used for web usage and usability analysis. Server-side logs are generatedautomatically by every user when users click to the corresponding web servers. Weblog mining process includes threeprocess, 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 threeprocesses and finding the users with same behaviour.
Reeny Zackarias, Nicy K S, “PREDICTING USERS WITH SIMILAR BEHAVIOUR THROUGH SESSIONS”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 3, pp. 766-769, March 2017.
