The web has become the world's largest repository of knowledge. Web usage mining is the process of discovering knowledge from the interactions generated by the user in the form of access logs, cookies, and user sessions data. Web Mining consists of three different categories, namely Web Content Mining, Web Structure Mining, and Web Usage Mining (is the process of discovering knowledge from the ...

This paper presents the usage of a general domain-independent data mining system in discovering of the Web user access patterns. DB2 Intelligent Miner for Data was successfully used in data mining of a huge Web log which was collected during the World FIFA Cup 1998. The clustering, associations and sequential pattern mining functions were considered in the context of Web usage mining. The clust...

Lizhen Liu, Junjie Chen, Hantao Song Department of Computer Beijing Institute of Technology Beijing, 100081 China AW-With the prompt increasing of information in the WWW, the Web Mining has gradually become more and more important in Data Mining. People always hope to gain some a t knowledge patterns user usage patterns. Based on the above, it could high effectually provide usefd information fo...

Creating an adaptive web site, which is a web site that automatically changes its contents and organization according to usage, is a challenge for web site designers. We introduce a novel algorithm for creating an adaptive web site based on combining web usage mining and adaptive web site generation. We outline the design of a system called WebAdaptor that implements our ideas. We elaborate on ...

Creating an intelligent agent for web navigation, which is an agent that dynamically gives recommendations to a web site's users by learning from web usage mining and users' behavior, is a challenge for web site designers. In this paper, we introduce a novel algorithm for creating an intelligent agent for navigating a web site based on combining web usage mining and machine learning. We describ...

Currently, World-Wide Web has developed to a distributed information space with nearly 100 million workstations and several billion pages, which brings the people great trouble in finding needed information although huge amount of information available on webs. The search engine is a very important tool for people to obtain information on Internet, but the low-precision and lowrecall exist wide...

As service world becomes bigger, behavior of people in this world becomes interesting and analysis of usage sequences can yield useful information about web services and the way they are used. Application of data mining and web mining techniques in the field of web services is introduced in order to discover interesting patterns among web services usage and interactions. In this paper, we intro...

Given the rate of growth of the Web, scalability of search engines is a key issue, as the amount of hardware and network resources needed is large, and expensive. In addition, search engines are popular tools, so they have heavy constraints on query answer time. So, the efficient use of resources can improve both scalability and answer time. One tool to achieve these goals is Web mining. Web mi...

The web contains rich and dynamic collections of hyperlink information, web page access, and usage information providing rich sources for data mining. From this, we need a system to recommend a visitor good information. This recommendation system can be constructed by web usage mining process. The web usage mining mines web log records to discover user access patterns of web pages. Also it is t...

The traffic on World Wide Web is increasing rapidly and huge amount of information is generated due to users interactions with web sites. To utilize this information, identifying usage pattern of users is very important. Web Usage Mining is the application of data mining techniques to discover the useful, hidden information about the users and interesting patterns from data extracted from Web L...