Extracting knowledge from web server logs using web usage mining

The growth of the Internet is increasing rapidly and the use of websites and web-based systems has become very common. The main problem that faces any website admin or any web application system is data increase per-second, which is stored in different types and formats in server log files about users, their future needs and maintains the structure and content of website or web services according to their previous data. Web usage mining aims at discovering useful information or knowledge from usage data registered in log files, based on primary kinds of data used in the mining process. By using one of the web mining techniques, this paper uses a web usage mining technique to procure knowledge from web server log files where all user navigation history is registered.