As the size of web increases along with number of users, it is very much essential for the website owners to better understand their customers so that they can provide better service, and also enhance the quality of the website. To achieve this they depend on the web access log files. The web access log files can be mined to extract interesting pattern so that the user behavior can be understoo...

Web usage mining is the process of applying data mining technique to the discovery of user behavior patterns based on Web log data, for various applications. In the advance of e-commerce, the importance of Web usage mining grows larger than before. As an important research field of Web usage mining, mining users navigation patterns is the fundamental approach for optimizing the frame design of ...

Semantic Web Mining is the outcome of two new and fast developing domains: Semantic Web and Data Mining. The Semantic Web is an extension of the current web in which information is given well-defined meaning, better enabling computers and people to work in cooperation. Data Mining is the nontrivial process of identifying valid, previously unknown, potentially useful patterns in data. Semantic W...

-.Internet is today full of structured or unstructured information. and this information is directly or indirectly influencing society or peoples. Because today internet is part our daily life activity. But using this abundant and ambiguous in most efficient manner in useful decision making is still a big challenge. During our web surfing either it is online shopping or blogging or using tweets...

Web Usage Mining (WUM) is the application of data mining techniques over web server logs in order to extract navigation usage patterns. Semantic Web Usage Mining aims at combining the Semantic Web and WUM. The main goal of the Semantic WUM is to improve the process and the results of WUM by exploiting the new semantic structure in the Web. Pattern analysis is a critical phase in WUM, for two ma...

In this paper, we introduce a web mining solution to business intelligence to discover hidden patterns and business strategies from their customer and web data. We propose a new framework based on web mining technology. Web mining attempts to determine useful knowledge from secondary data obtained from the interactions of the users with the web. KeywordsData mining, Web Mining, Web Usage Mining,