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
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;
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
DOI :
10.1109/ICCAE.2010.5451517