DocumentCode
1992142
Title
A method for data classification based on Rough Sets Theory
Author
Dong, ShuJuan ; Ding, AiPing
Author_Institution
Yellow Revier Conservancy Tech. Inst., Kaifeng, China
fYear
2011
fDate
16-18 Sept. 2011
Firstpage
4261
Lastpage
4264
Abstract
In the processing of data classification, selecting a method for data classification will influence the efficiency of classification. Attributes reduction and rules reduction based on rough sets are used in data classification. The experiments show that, compared with traditional method based on decision tree regression and information entropy, data classification using this method is simpler in the structure, and can improve the efficiency of classification.
Keywords
data handling; pattern classification; rough set theory; attributes reduction; data classification method; rough set theory; rule reduction; Classification algorithms; Computers; Databases; Information systems; Regression tree analysis; Rough sets; Attributes reduction; Data classification; Rough sets; Rules reduction;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Control Engineering (ICECE), 2011 International Conference on
Conference_Location
Yichang
Print_ISBN
978-1-4244-8162-0
Type
conf
DOI
10.1109/ICECENG.2011.6057939
Filename
6057939
Link To Document