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