In Web personalization usage mining has been used in combination of standard methods to help predict user needs based on their transaction histories. Although information in usage logs of a Web server reflects the interests of users to the site, the users are potentially not aware of all information needs that can be addressed through the Web server. User data (content) is a valuable source for...

With the explosive growth of data available on the Internet, a recent area of investigation called Web Mining has arise. In this paper, we will study general aspects of this area, principally the process of Web Usage Mining where log files are analyzed. These files register the activity of the user when interact with the Web. In the Web Usage Mining, different techniques of mining to discover u...

Personalization tailors a user’s interaction with the Web information space based on information gathered about them. Declarative user information such as manually entered profiles continue to raise privacy concerns and are neither scalable nor flexible in the face of very active dynamic Web sites and changing user trends and interests. One way to deal with this problem is through a completely ...

The web is pervading all walks of life and its huge increase in information volume has made the web personalization mandatory. Web Personalization may be achieved by web mining especially the web usage mining technique on the surfing behavior. Learning the surfing behavioral pattern has emerged into a promising research area to achieve web personalization. Till recently web usage mining was don...

As web is the largest collection of information and plenty of pages or documents, the World Wide Web has becoming one of the most valuable resources for information retrievals and knowledge discoveries. Web mining technologies are the right solutions for knowledge discovery on the Web. Web mining divides into web content, web structure and Web usage mining. In this paper, we focus on one of the...

The increasing expansion of websites and their web usage necessitates increasingly scalable techniques for Web usage mining that can be better cast within the framework of mining evolving data streams [1, 5]. Despite recent developments in mining evolving Web clickstreams [3, 6], there has not been any investigation of the performance of collaborative filtering [2] in the demanding environment ...

Data mining is based on the detection and extraction of knowledge from a database. Web usage mining is a special form of data mining to address behavior in web sites. Web usage mining shall be proposed as the central, non-intrusive and objective evaluation technique for the analysis of the usage of web-based learning and training systems and in particular of the interaction with educational con...