Optimizing the Web Mining technique using Heuristic Approach

With the exceptional growth of the Web, there is an escalating volume of data and information available in frequent Web pages. The swift extension of the web leads to several problems such as lacks of organization and structure. Moreover, the content is available in different dissimilar formats. Because of its hasty and muddled growth users are feeling sometimes disoriented, lost in that information overload that continues to expand. Web mining is a very extensive research area promising to solve the issues that arise due to the WWW phenomenon. So the usage of data mining methods and knowledge discovery on the web is now on the spotlight of a boosting number of researchers. The Web mining research overlaps substantially with other areas, such as Databases, IR and AI. In this work we propose research on various web mining concepts and different AI techniques used in Web Mining. We also survey A* searching algorithm that can facilitate the extraction process of web.