Discovery of Web Usage Patterns based on Frequent Sequential Pattern Mining

Abstract

Web usage mining plays an important role in adaptation of Web sites and the improvement of Web server perfomance. It applies data mining techniques to discover Web access patterns from Web usage data. It is interesting to use information of Web Hyperlink structure and Web contents as well as Web Access log to discover Web access patterns. In this paper, we propose a unified form to represent all the three Web information in sequences. The form is convenient to apply to frequent sequential pattern mining algorithms. In addition, in consideration of Web, we give two proposals for frequent sequential pattern mining algorithms.