id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_iqxvluj6o5ca7jod3562ei7oza	Dianshuang Wu	Similarity measure models and algorithms for hierarchical cases	2011	21	.pdf	application/pdf	6887	690	70	proposed which includes a node concept correspondence degree computation algorithm and a explore effective similarity measures for hierarchical cases in order to apply CBR systems. This tree case has seven nodes called "wild birds", "farm poultry",…, "water bird" To evaluate the similarity between these tree-structured hierarchical cases, all the The research in this paper is related to work on tree similarity measure and structured case In (Ricci & Senter, 1998), the similarity measure on tree structured cases, information on nodes' structures, concepts, weights and values to compare tree structured two HC-trees based on nodes' structures and concepts, and the conceptual similarity between two To identify two corresponding nodes in different HC-trees, both their structures and concepts roots of two HC-trees is computed by aggregating the value similarity of all corresponding node structures, concepts, weights and values and it can be used to retrieve the most similar cases 	./cache/work_iqxvluj6o5ca7jod3562ei7oza.pdf	./txt/work_iqxvluj6o5ca7jod3562ei7oza.txt