DocumentCode :
3316358
Title :
A case retrieval algorithm based on Ant Colony Clustering
Author :
Ma, Shi-xia ; Ru, Qing-Yun ; Liu, Dan ; Guo, Zu-hua
Author_Institution :
Comput. Sci. & Technol. Dept., Henan Mech. & Electron. Eng. Coll., Xinxiang, China
fYear :
2009
fDate :
8-11 Aug. 2009
Firstpage :
39
Lastpage :
43
Abstract :
Case retrieval is an important part of case-based reasoning system. According to the idea of ant colony algorithm, the paper performs clustering to case base, and on this basis, in accordance with the idea of k-means algorithm, designs a case retrieval algorithm. Then the paper analyzes the organization method based on heterogeneous case, focuses on the clustering algorithm of case and the retrieval algorithm of case. The experimental results show that the method is able to convert the maintenance of case base into the maintenance of sample case, thus effectively improve the efficiency of case retrieval.
Keywords :
case-based reasoning; pattern clustering; ant colony clustering; case retrieval algorithm; case-based reasoning system; k-means algorithm; organization method; Algorithm design and analysis; Artificial intelligence; Clustering algorithms; Computer science; Educational institutions; Electronic commerce; Humans; Internet; Libraries; Semantic Web; Case-based reasoning; case retrieval log; feature item´s weight;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Technology, 2009. ICCSIT 2009. 2nd IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-4519-6
Electronic_ISBN :
978-1-4244-4520-2
Type :
conf
DOI :
10.1109/ICCSIT.2009.5234790
Filename :
5234790
Link To Document :
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