DocumentCode
2157026
Title
Research of case retrieval strategy based on partitional clustering algorithm
Author
Ma, Shi-xia ; Liu, Jian-hua ; Liu, Dan
Author_Institution
Comput. Sci. & Technol. Dept., Henan Mechanic & Electr. Eng. Coll., Xinxiang, China
Volume
2
fYear
2010
fDate
26-28 Feb. 2010
Firstpage
307
Lastpage
310
Abstract
Case clustering is the core of case-based reasoning system. This paper partitions clustering to case base and designs a case retrieval strategy based on heterogeneous case base. Then, the paper analyzes the partitional principles of case base and the clustering rules of cases, and focuses on the case retrieval strategy based on partitional clustering. The experimental results show that this method can effectively improve the efficiency of case clustering and the maintainability of case base.
Keywords
case-based reasoning; pattern clustering; case clustering; case retrieval strategy; case-based reasoning; partitional clustering algorithm; Clustering algorithms; Computer aided software engineering; Computer science; Delay; Educational institutions; Electronic commerce; Internet; Partitioning algorithms; Radiofrequency interference; Semantic Web; case retrieval; clustering; partitional clustering; reasoning; similarity;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4244-5585-0
Electronic_ISBN
978-1-4244-5586-7
Type
conf
DOI
10.1109/ICCAE.2010.5451517
Filename
5451517
Link To Document