Efficient Web Usage Miner Using Decisive Induction Rules
Web usage mining is the technique of extracting useful information from server logs (user's history) and finding out what users are looking for on the Internet. This type of web mining allows for the collection of Web access data for Web pages. Scope: The web usage data provides the paths leading to accessed Web pages with preferences and higher priorities. This information is often gathered automatically into access logs through the Web server. This paper propose Induction based decision rule model for generating inferences and implicit hidden behavioral aspects in the web usage mining which investigates at the web server and client logs.