Webtool: An integrated framework for data mining

Abstract

Large volumes of data such as user address or URL requested are gathered automatically by Web servers and collected in access log files. Analysis of server access data can provide significant and useful information for performance enhancement, and restructuring a Web site for increased effectiveness. In this paper, we propose an integrated system (WebTool) for mining user patterns and association rules from one or more Web servers and pay a particular attention to handling of time constraints. Once interesting patterns are discovered, we illustrate how they can be used to customize the server hypertext organization dynamically.