Web Usage Data Mining Agent

摘要

When a user logs in to a website, behind he scenes the user leaves his/her impressions, usage patterns and also access patterns in the web servers log file. A Web usage mining agent can analyze these Web Logs to help web developers to improve the organization and presentation of their websites. They can help system administrators in improving the system performance. Web Logs provide invaluable help in creating adaptive web sites and also in analyzing the network traffic analysis. This paper presents the design and implementation of a Web usage mining agent for digging in to the web log files.