DocumentCode :
3291396
Title :
The Case Retrieval Strategy Based on Hierarchical Clustering
Author :
Ma, Shixia ; Li, Jibiao ; Liu, Dan
Author_Institution :
Henan Mech. & Electron. Eng. Coll., Xinxiang, China
fYear :
2009
fDate :
6-7 June 2009
Firstpage :
81
Lastpage :
85
Abstract :
Case-based reasoning technology has been widely applied in many areas. This study first clustered the case base according to hierarchy, then on the foundation of which designed a retrieval strategy based on non-isomorphic case base, analyzed the hierarchal clustering rules of case base, and mainly discussed the case retrieval strategy based on clustering. The results of the experiment show that this method can efficiently improve the utilization rate of cases in case base as well as the success rate of the case retrieval.
Keywords :
case-based reasoning; information retrieval; pattern clustering; case retrieval strategy; case-based reasoning; hierarchical clustering; Accuracy; Artificial intelligence; Educational institutions; Information retrieval; Libraries; Case-Based Reasoning(CBR); case retrieval strategy; feature item´s weight; hierarchical clustering; similarity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Web Mining and Web-based Application, 2009. WMWA '09. Second Pacific-Asia Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3646-0
Type :
conf
DOI :
10.1109/WMWA.2009.52
Filename :
5232473
Link To Document :
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