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Discovery of user frequent access patterns on Web usage mining

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4 Author(s)
Xidong Wang ; Sch. of Comput. & Inf., Hefei Univ. of Technol., China ; Yiming Ouyang ; Xuegang Hu ; Yan Zhang

This paper proposes a method that can discover users' frequent access patterns underlying users' browsing Web behaviors. Firstly, the paper introduces the concept of access pattern according to a user's access path, and secondly puts forward a revised algorithm (FAP-Mining) based on the FP-tree algorithm to mine frequent access patterns. The new algorithm first constructs a frequent access pattern tree and then mines users' frequent access patterns on the tree. The algorithm is accurate and scalable for mining frequent access patterns with different lengths.

Published in:

Computer Supported Cooperative Work in Design, 2004. Proceedings. The 8th International Conference on  (Volume:1 )

Date of Conference:

26-28 May 2004