Navigation Patterns Mining Approach Based On Expectation Maximization Algorithm
Norwati Mustapha, Manijeh Jalali, Abolghasem Bozorgniya, Mehrdad Jalali · Zenodo (CERN European Organization for Nuclear Research) · 2009
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.