46 Abstract— 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, business and support services, personalization, and network traffic flow analysis and so on. Previous study on Web usage mining using a concurrent Clustering, Neural base...

-----------------------------------------------------------------------ABSTRACT -------------------------------------------------------------Web Usage Mining is the application of data mining techniques to discover interesting usage patterns from Web data, in order to understand and better serve the needs of Web-based applications. Usage data captures the identity or origin of Web users along w...

Web Usage Mining make use of Association Rule Mining to discover the interesting pattern, identify web user behavior, predict web user expectation and improve the business strategy. Association Rule Mining is a technique of Data Mining which is used to find the relationship between the data items. In Web Usage Mining, data are stored in the web server in the form of web log files. Numerous amou...

Web mining is the use of data mining techniques to automatically discover and extract information from web documents This paper summarizes the different types of web mining, and their current states of the art. Keywords—Web Mining, World Wide Web, Web Content Mining, Web Structure Mining, Web Usage Mining.

Frequent pattern mining is a heavily researched area in the field of data mining with wide range of applications. One of them is to use frequent pattern discovery methods in Web log data. Discovering hidden information from Web log data is called Web usage mining. The aim of discovering frequent patterns in Web log data is to obtain information about the navigational behavior of the users. This...

Web Usage Mining used to extract knowledge from WWW. Nowadays interaction of user towards web data is growing, web usage mining is significant in effective website management, adaptive website creation, support services, personalization, and network traffic flow analysis and user trend analysis and user’s profile also helps to promote website in ranking. Agglomerative clustering is a most flexi...

With the Internet usage gaining popularity and the steady growth of users, the World Wide Web has become a huge repository of data and serves as an important platform for the dissemination of information. The users’ accesses to Web sites are stored in Web server logs. However, the data stored in the log files do not present an accurate picture of the users’ accesses to the Web site. Hence, prep...

Web transaction data between Web visitors and Web functionalities usually convey user task-oriented behavior pattern. Mining such type of clickstream data will lead to capture usage pattern information. Nowadays Web usage mining technique has become one of most widely used methods for Web recommendation, which customizes Web content to user-preferred style. Traditional techniques of Web usage m...

Patterns generated by conventional Web Usage Mining methods do not provide explicit insight into the user’s underlying interest and preferences. Hence there is a need to incorporate semantic information in web usage model to understand web user’s navigational behavior at conceptual level. This motivated us to propose the semantically enriched web usage model. The proposed work integrates domain...