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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.
Computer Supported Cooperative Work in Design, 2004. Proceedings. The 8th International Conference on (Volume:1 )
Date of Conference: 26-28 May 2004