  In this paper, the Simulated Annealing (SA) based biclustering approach is
proposed in which SA is used as an optimization tool for biclustering of web
usage data to identify the optimal user profile from the given web usage data.
Extracted biclusters are consists of correlated users whose usage behaviors are
similar across the subset of web pages of a web site where as these users are
uncorrelated for remaining pages of a web site. These results are very useful
in web personalization so that it communicates better with its users and for
making customized prediction. Also useful for providing customized web service
too. Experiment was conducted on the real web usage dataset called CTI dataset.
Results show that proposed SA based biclustering approach can extract highly
correlated user groups from the preprocessed web usage data.
