Nowadays Web users are drowned in all kind of available information. However, only a tiny part of it is usually relevant to their preferences. Web usage mining which extracts knowledge for usage and clickstream data has become the subject of exhaustive research, as its potential for Web-based personalized services, prediction of user near future intentions, adaptive Web sites, and customer prof...

The continuous growth in the size of the World Wide Web has resulted in intricate Web sites, demanding enhanced user skills and more sophisticated tools to help the Web user to find the desired information. In order to make Web more user friendly, it is necessary to provide personalized services and recommendations to the Web user. For discovering interesting and frequent navigation patterns fr...

Web Usage Mining is the application of data mining techniques to discover interesting usage patterns from Web data, in order to understand and better serve the needs of Web-based applications. Usage data relates with the identity or origin of Web users along with their browsing behavior at a Web site. Web usage mining itself can be classified further depending on the kind of usage data consider...

Web Mining is an enormous field that helps us to understand range of concepts of different fields. Web Usage Mining Techniques are attempted to motive about diverse materialized issues of Business Intelligence which include marketing proficiency as domain knowledge and are specifically designed for electronic commerce purposes. The growing reputation of e-commerce makes data mining requisite te...

Web Usage Mining is the application of data mining techniques to large Web log databases in order to extract usage patterns. A cross-transaction association rule describes the association relationships among different user transactions in Web logs. In this paper, a Linear time intra-transaction frequent itemsets mining algorithm and the closure property of frequent itemsets are used to mining c...

Web usage mining is the application of data mining techniques to better serve the needs of web-based applications on the web site. In this paper, we analyze the web usage mining by applying the pattern recognition techniques on web log data. Pattern recognition is defined as the act of taking in raw data and making an action based on the ‘category’ of the pattern. Web usage mining is divided in...

The Internet has unlimited resources of knowledge and is widely used in many applications. Web mining plays an important role in discovering such knowledge, it is roughly divided into three categories : Web Content Mining , Web Usage Mining and Web Structure Mining. The web consists of imprecise, incomplete and uncertain data and knowledge. Fuzzy Set Theory is often used to handle such data. Se...