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
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;
Conference_Titel :
Electrical and Control Engineering (ICECE), 2011 International Conference on
Conference_Location :
Yichang
Print_ISBN :
978-1-4244-8162-0
DOI :
10.1109/ICECENG.2011.6057939
