Discovery of user frequent access patterns on Web usage mining

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.