Overview of Web Mining Techniques and its Application towards Web

The World Wide Web (WWW) acts as an interactive and popular way to transfer information. Due to the enormous and diverse information on the web, the users cannot make use of the information very effectively and easily. Data mining concentrates on non trivial extraction of implicit previously unknown and potential useful information from the very large amount of data. Web mining is an application of data mining techniques to extract knowledge from web data, including web documents, hyperlinks between documents, usage logs of web sites, etc. The aim of this paper is to describe the past and current techniques in Web Mining. It also gives the overview of development in research of web mining and few key computer science contributions in the field of web mining, the prominent successful applications and outlines some promising areas of future research. Online resources for retrieval Information on (1) web content mining, extraction and integration of useful data, information and knowledge from Web page content (2) web structure mining, analyze the node and connection structure of a web site and (3) web usage mining, process of extracting useful information from server logs for web. Web mining provides the support for the web site design, providing personalization server and other business making decision etc. It has quickly become one of the most important areas in Computer and Information Sciences because of its direct applications in e-commerce, CRM, Web Analytics, Information Retrieval and Filtering and Web Information System. Web Data mining has immensely penetrated in each and every field of day to day life.