Abstract:
World Wide Web overwhelms us with the
immense amounts of widely distributed
interconnected, rich and dynamic
information. Provision of services to users
correctly according to their needs is one of
the most important issues in Web. However,
provision of services to individual users’
need is time consuming and overburden for
the web site developers or administrator.
Not only for the developers but also for the
users, group-based service provision can
fulfill this situation at the same time. In this
paper, clustering algorithms: Self
Organizing Map (SOM) and K-Means are
used to analyze the users’ access behavior.
The correctness of the clustering algorithms
is tested with two external validation
indexes. Our implementation results show
that SOM gives better results than K-Means.
