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Research of Case Retrieval Strategy Based on Partitional Clustering Algorithm  ( CPCI-S收录 EI收录)  

文献类型:会议论文

英文题名:Research of Case Retrieval Strategy Based on Partitional Clustering Algorithm

作者:Ma, Shi-xia[1];Liu, Jian-hua[2];Liu, Dan[1]

第一作者:Ma, Shi-xia

通讯作者:Ma, SX[1]

机构:[1]Henan Mech & Elect Engn Coll, Comp Sci & Technol Dept, Xinxiang, Henan, Peoples R China;[2]Xinxiang Univ, Sch Mech & Elect Engn, Xinxiang, Henan, Peoples R China

第一机构:Henan Mech & Elect Engn Coll, Comp Sci & Technol Dept, Xinxiang, Henan, Peoples R China

通讯机构:[1]corresponding author), Henan Mech & Elect Engn Coll, Comp Sci & Technol Dept, Xinxiang, Henan, Peoples R China.

会议论文集:2nd International Conference on Computer and Automation Engineering (ICCAE)

会议日期:FEB 26-28, 2010

会议地点:Singapore, SINGAPORE

语种:英文

外文关键词:reasoning; clustering; case retrieval; partitional clustering; similarity

摘要: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.

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