Web usage mining attempts to discover useful knowledge from the secondary data obtained from the interactions of the users with the web. Web usage mining has become very critical for effective web site management, creating adaptive web sites, business and support services, personalization and so on. Web usage mining aims to discover interesting user access patterns from web logs. Formal Based C...

Web Usage Mining refers to the discovery of interesting information from user navigational behavior as stored in web access logs. While extracting simple information from web logs is easy, mining complex structural information is very challenging. Data cleaning and preparation constitute a very significant effort before mining can even be applied. We propose two new XML applications, XGMML and ...

Nowadays the use of e-learning systems is increasing, especially in academia. Most researchers use Web Usage Mining (WUM) techniques to study the behavior of users of such systems. The results thus obtained are used to enhance e-learning systems or make different predictions. Current tools used for Web Usage Mining can offer a partial view on the usage of such systems. This paper presents the u...

Web usage mining involves application of data mining techniques to discover usage patterns from the web data. Clustering is one of the important functions in web usage mining. The likelihood of bad or incomplete web usage data is higher than the conventional applications. The clusters and associations in web usage mining do not necessarily have crisp boundaries. Researchers have studied the pos...

Web usage mining aims at the discovery of interesting usage patterns from Web server log files. “Interestingness” relates to the business goals of the site owner. However, business goals refer to business objects rather than the page hits and script invocations recorded by the site server. Hence, Web usage analysis requires a preparatory mechanism that incorporates the business goals, the conce...

Web Usage Mining is the application of data mining techniques to learn usage patterns from Web server log file in order to understand and better serve the requirements of web based applications. Web Usage Mining includes three most important steps namely Data Preprocessing, Pattern discovery and Analysis of the discovered patterns. One of the most important tasks in Web usage mining is to find ...

The use of Web technology has increased by a great extent in the recent times. Millions of users spend time surfing net to obtain information or for recreational activities. Along with satiating their own purpose, the users leave behind a detailed trail of all the web pages accessed and the frequency with which they are accessed. This information is of paramount use to several commercial domain...

The World Wide Web (WWW) is becoming one of the most preferred and widespread mediums of learning. Unfortunately, most of the current Web-based learning systems are still delivering the same educational resources in the same way to learners with different profiles. Web usage mining is defined as the application of data mining technologies to online usage patterns as a way to better understand a...

Explosive and quick growth of the World Wide Web has resulted in intricate Web sites, demanding enhanced user skills and sophisticated tools to help the Web user to find the desired information. Finding desired information on the Web has become a critical ingredient of everyday personal, educational, and business life. Thus, there is a demand for more sophisticated tools to help the user to nav...

Information explosion in World Wide Web has increased the interest in Web usage mining techniques in both commercial and academic areas. Study of interested web users; provide valuable information for web designers to quickly respond to their individual needs and for the efficient organization of the website. Among the several approaches like Association rule mining, classification, clustering,...