Abstract:
World Wide Web become as information
gateway and as a medium for conducting business.
People use web pages to retrieve information which
may need or demand. Web mining can provide the
navigation link to user by using user behavior. This
system provides clustering of user navigation
patterns based on graph partitioning algorithm. For
clustering of user navigation patterns, the system
creates an undirected graph based on connectivity
between each pair of web pages and assigns weight
to edges in such graph. Those weights are then used
in clustering algorithm based on graph partitioning.
These system results can be used to improve the
overall performance of future access and the clusters
concerning user navigation pattern can be used for
web caching.
