@ARTICLE{Sulaimany, author = {Sulaimany, Sadegh and Maghsoudi, Behrooz and Amiri, Ali and }, title = { Improving the Performance of E-Learning Systems Using Extracted Web Server Log File Suggestions }, volume = {3}, number = {1}, abstract ={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. }, URL = {http://ijict.itrc.ac.ir/article-1-225-en.html}, eprint = {http://ijict.itrc.ac.ir/article-1-225-en.pdf}, journal = {International Journal of Information and Communication Technology Research}, doi = {}, year = {2011} }