Data Mining Techniques to Discover Students Visiting Patterns in E-learning Resources

In recent times, the rapid progress of internet technology has triggered the extensive development of web-based learning environments in the educational world. Online learning resources provide various types of online learning assets like tutorials, e-books, scientific articles, etc. Nowadays students prefer Elearning resources for learning and collecting useful information through it. As students access the Elearning resources like websites or blogs, the sequences of their access containing the web pages are stored in the web server logs. These web server logs can be analyzed to find the students visiting patterns. In this paper a set of tools that are based on data mining techniques such as clustering, and association mining, combined with collaborative filtering techniques are discussed. Then some methods are presented to analyze the browsing web log data to construct a browsing behavioural model that is helpful in supporting E-learning resources. Keywords— Data Mining, web usage mining, E-learning, recommendation system, visiting patterns.