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 :
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