Abstract:
Web prediction is a classification approach to
predict the next step of Web pages that a user may visit
on the knowledge of the previously visited pages. The
web usage mining techniques are used to analyze the
web usage patterns for a web site. The user access log
is used to fetch the user access patterns and these are
used in the prediction process. There are many
methods based on web usage mining for prediction
system but most of all are based on traditional methods
such as sequential pattern mining, clustering and so
on. In this paper, the ontology based PHS (Perfect
Hashing and Shrinking) algorithm is used in
developing list by applying semantic similarity related
with the domain ontology.
