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
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