Large websites pose the following challenges for comprehension of user behavior: users’ behaviors are complex and diverse, the web log data is very noisy, and the quantity of the web log data is of a magnitude that defies direct analysis. In this paper we present an integrated multimodal approach for usability analysis of large websites. Our research combines web content mining and web usage mi...

Nowadays, WWW (World Wide Web) becomes more popular and user friendly for transferring information. Therefore people are more interested in analyzing log files which can offer more useful insight into web site usage. Web usage mining is one of the data mining fields, which deals with the discovery and extract useful information from web logs. There are three phases in web usage mining, preproce...

web is a great source of information and knowledge, where a numerous of users find their interest. The data available is in form of structured (relational) and text data. Therefore, different kinds of data model can be implementable with web data for pattern discovery. Web mining is a data mining tool where the web related data is evaluated for pattern discovery and user navigation pattern. Add...

This paper presents a vertical application of web usage mining: efficient web caching for improving the response time , for the internet users ,specially due to increase in number of users of e-commerce on the internet Introducing efficient web caching algorithms that employ predictive models of web requests; the general idea is to extend the cache replacement policies of proxy servers by makin...

World Wide Web is a global village and a rich source of information. The number of users accessing web sites is increasing day by day. For effective and efficient handling, web mining coupled with recommendation techniques provides personalized contents at the disposal of users. Web Mining is an area of Data Mining dealing with the extraction of interesting knowledge from the World Wide Web. Wh...

Web usage mining is about analyzing the user interactions with a web server based on resources like web logs, click streams and database transactions. It helps in discovering the browsing patterns of the user and in relating the pages visited by him. This knowledge can be of help in making business decisions, refining the web site design to derive personalized pages. Web usage mining uses the d...

Problem statement: Web usage mining is the technique of extracting useful information from server logs (user’s history) and finding out what users are looking for on the Internet. This type of web mining allows for the collection of Web access data for Web pages. Scope: The web usage data provides the paths leading to accessed Web pages with prefrences and higher priorities. This information is...

Semantic Web Mining aims at combining the two fast-developing research areas Semantic Web and Web Mining. Web Mining aims at discovering insights about the meaning of Web resources and their usage. Given the primarily syntactical nature of data Web mining operates on, the discovery of meaning is impossible based on these data only. Therefore, formalizations of the semantics of Web resources and...

As the popularity of WWW explodes, a massive amount of data is gathered by Web servers in the form of Web access logs. This is a rich source of information for understanding Web user surfing behavior. Web Usage Mining, also known as Web Log Mining, is an application of data mining algorithms to Web access logs to find trends and regularities in Web users' traversal patterns. The results of Web ...

Users of the web have their own areas of interest. Given the tremendous growth of the web, it is very difficult to redirect the users to their page of interest. Web usage mining techniques can be applied to study the users navigational behaviours based on their previous visit data. These user navigational patterns can be extracted and used for web personalization or web site reorganization reco...