ABSTRACT
Web usage mining focuses on techniques that could predict user behavior while the user interacts with the
Web. It tries to make sense of the data generated by the Web surfer’s sessions or behaviors. There is an
attempt to provide an overview of the state of the art in the research of web usage mining, while discussing the
most relevant tools available in the sphere as well as the niche requirements that the current variety of tools
lack. It will give an outlook on the existing tools, their specialized focus with respect to an applicative
objectives and the need for a more comprehensive new entrant in this sphere in the light of the current
scenario. In the end, the paper will be concluded by listing some challenges and future trends in this research
area. Overall the focus of the paper will be to present a survey of the recent developments in this area which is
getting too much attention from web development arena.
Keywords: - Artificial Intelligence, Data Mining, Information overload, Navigation Patterns, Web Log, Web Mining,
Web Personalization, Web site structure, Web usage mining,