TY - JOUR T1 - Improving the Performance of E-Learning Systems Using Extracted Web Server Log File Suggestions TT - JF - ITRC JO - ITRC VL - 3 IS - 1 UR - http://ijict.itrc.ac.ir/article-1-225-en.html Y1 - 2011 SP - 67 EP - 72 KW - E-Learning systems KW - Web server log data KW - Data mining N2 - There are many opportunities to improve E-Learning web-based applications with regard to continue challenges e.g. their lack of interaction between teachers and students and structural evaluation of the presented learning activity. In this paper, E-Learning system web server log data and information about its control panel are provided; then the gathered data were preprocessed. After extracting association rules form these data and selecting results using more confidence coefficients, they were used as a virtual consultant for improving the E-Learning system. MySQL was used as the database for storing and extracting patterns. Extracting association rules with more confidence coefficients was done using Weka Software. The selected E-Learning web application was Moodie and the virtual university case study was Iran University of Science and Technology. The obtained results showed the needs which cannot be granted by a human consultant easily and cannot be inferred from current application log directly. M3 ER -