DocumentCode
514782
Title
The Case Clustering Algorithm Based on Rough Set
Author
Ma, Shi-xia ; Li, Shi-yong
Author_Institution
Comput. Sci. & Technol. Dept., Henan Mech. & Electr. Eng. Coll., Xinxiang, China
Volume
1
fYear
2010
fDate
6-7 March 2010
Firstpage
300
Lastpage
303
Abstract
Based on rough set theory and case-based reasoning technology, the paper designs a case-clustering algorithm, introduces the rough set theory and the presentation form of case and case base, analyzes the structure of the cluster, and emphasizes on the merging algorithm of cluster. According to the experimental results, the method enhances the related extent of the cases in clustering through using of user´s feedback information, and effectively develops clustering to the cases of case base, so as to increase the efficiency of case retrieval.
Keywords
case-based reasoning; merging; pattern clustering; rough set theory; case clustering algorithm; case retrieval; case-based reasoning; merging algorithm; rough set theory; user feedback information; Algorithm design and analysis; Clustering algorithms; Computer science; Computer science education; Educational institutions; Educational technology; Feedback; Merging; Paper technology; Set theory; case-based reasoning; rough set; similarity; target case;
fLanguage
English
Publisher
ieee
Conference_Titel
Education Technology and Computer Science (ETCS), 2010 Second International Workshop on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-6388-6
Electronic_ISBN
978-1-4244-6389-3
Type
conf
DOI
10.1109/ETCS.2010.499
Filename
5459031
Link To Document