International Journal of Computer Applications
Finding needed information among the existing information on the web can be very time consuming and difficult. To tackle this problem, web personalization systems have been proposed that adapt the contents and services of web sites based on the users' interests. Studying users' behaviors in the past with web usage mining techniques utilization can be worthy help in personalization affair. Web servers log files considered as a rich resource for finding users' behavioral patterns. In this paper, users' behavioral patterns are obtained from studying of users' access and web usage mining utilization, especially users clustering.