%0 Journal Article
	%A Norwati Mustapha and  Manijeh Jalali and  Abolghasem Bozorgniya and  Mehrdad Jalali
	%D 2009
	%J International Journal of Computer and Information Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 26, 2009
	%T Navigation Patterns Mining Approach based on Expectation Maximization Algorithm
	%U https://publications.waset.org/pdf/3022
	%V 26
	%X Web usage mining algorithms have been widely
utilized for modeling user web navigation behavior. In this study we
advance a model for mining of user-s navigation pattern. The model
makes user model based on expectation-maximization (EM)
algorithm.An EM algorithm is used in statistics for finding maximum
likelihood estimates of parameters in probabilistic models, where the
model depends on unobserved latent variables. The experimental
results represent that by decreasing the number of clusters, the log
likelihood converges toward lower values and probability of the
largest cluster will be decreased while the number of the clusters
increases in each treatment.
	%P 422 - 426