The enormous content of information on the World Wide Web makes it obvious candidate for data mining research. Data Mining Technique application is used to the World Wide Web referred as Web mining where this term has been used in three distinct ways; , Web Structure Mining, Web Content Mining and Web Usage Mining. Web Log Mining is one of the Web based application where it will facing with lar...

Web Usage Mining is the process of discovering user’s navigation pattern and predicting user’s behavior. The quantity of the Web usage data to be analyzed and its low quality are the principal problems in WUM. Several algorithms of data mining have been applied in order to extract the behaviors of the Web sites' users. In this present work, we have implemented a community detection technique in...

World Wide Web is a huge repository of web pages and links. The Web mining field encompasses a wide array of issues, primarily aimed at deriving actionable knowledge from the Web, and includes researchers from information retrieval, database technologies, and artificial intelligence. The growth of web is tremendous as approximately one million pages are added daily. Users’ accesses are recorded...

Data Mining, is the process of discovery of new patterns and knowledge from large dataset. Web mining is the application of data mining techniques to extract and mine useful knowledge and interesting patterns from World Wide Web .Web data including web documents, hyperlinks between documents, usage logs of web sites. The web usage data captures the identity and origin of the web user along thei...

Data mining is the process of mining information from the large set of data. It further has many categories like text mining web usage mining and web content mining. There are many types of algorithm which are used in web mining i.e. Visitor method, Dom tree and least recent used algorithm. Visitor and Dom tree is the complex and time consuming method. Least Recent Used algorithm is less time c...

Web Usage Mining is the application of data mining techniques to find usage patterns from web log data, so as to grasp required patterns and serve the requirements of Web-based applications. User’s expertise on the internet may be improved by minimizing user’s web access latency. This may be done by predicting the future search page earlier and the same may be prefetched and cached. Therefore, ...