%0 Journal Article
	%A Larbi Omar and  Elberrichi Zakaria
	%D 2012
	%J International Journal of Computer and Information Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 68, 2012
	%T Clustering Methods Applied to the Tracking of user Traces Interacting with an e-Learning System
	%U https://publications.waset.org/pdf/15037
	%V 68
	%X Many research works are carried out on the analysis of
traces in a digital learning environment. These studies produce large
volumes of usage tracks from the various actions performed by a
user. However, to exploit these data, compare and improve
performance, several issues are raised. To remedy this, several works
deal with this problem seen recently. This research studied a series of
questions about format and description of the data to be shared. Our
goal is to share thoughts on these issues by presenting our experience
in the analysis of trace-based log files, comparing several approaches
used in automatic classification applied to e-learning platforms.
Finally, the obtained results are discussed.
	%P 1015 - 1019