Multi-level Data Mining - One way to sophisticated Web-based applications

With the possibility of world wide access current Web applications have an almost unlimited amount of potential users. Methods of data mining can be used to classify the user groups and to learn from their behavior. With the collected information changes and optimizations can be applied to the Web application to hit the users requirements. One already established method for data mining is Web usage mining. Web usage mining is based on the logging information that is generated by the Web server when the user clicks through the site. A new approach that offers more flexibility as presented in this paper is multi-level data mining. It takes advantage of the several layers in a Web application. Guidelines that may be regarded as good practice in the field of data tracking will be introduced in this paper.