An Intelligent System for Exploration of Web User Behavior

Advances in information technology extend the use of the Internet in various areas such ascommunication, research, education, financial transaction, real-time updates, onlinebooking, job search, blogging and shopping. This widespread use of the Internet hasturned the World Wide Web (WWW) into the largest information source where individualsor organizations publish their ideas to people or end users through the Web. The Web is acollection of documents, images, sounds, videos, and animations interrelated by hyperlinksand accessed through Uniform Resource Identifiers (URIs). The Web is mostly semistructuredand/or unstructured data repository and data available on the Web is a huge, diverse, and dynamic in nature .Web mining is the application of data mining techniques to discover hidden orinteresting knowledge from WWW. Web mining is divided into three categories asWeb Usage Mining (WUM), Web Content Mining (WCM) and Web Structure Mining(WSM). In Web content mining, the data used for the mining process is actuallypresent in the Web pages which conveys information to the users. The contents of Webpages may be varied e.g. text, HTML, audio, video, images, etc. In Web structuremining, the data used for the mining process is the organization of the Web pages connectedthrough hyperlinks. Various HTML tags are used to link one page to another page and onewebsite to another website. In Web usage mining, the data used for the mining process is usage data of the website. The usage data reflects the usage of website which can be collected at various sources like Web servers, proxy server, and client browser with various attributes. The variations in the sources of data are due to the place where it has been collected. Web usage data is also referred to as Web log data or files.