DocumentCode
3485708
Title
A Tolerance Rough Sets Theory-Based Knowledge Reduction Method in Data Mining
Author
Wei, Yuanyuan ; Wei, Changhua
Author_Institution
Coll. of Comput. Sci., Wuhan Textile Univ., Wuhan, China
fYear
2010
fDate
7-9 Nov. 2010
Firstpage
1
Lastpage
4
Abstract
The equivalence relation in the theory is defined by the complete equal relation, which will result in complexity of computation of the knowledge reduction in the real world in rough sets theory (RST). In order to overcome this shortage of general rough set theory, the elementary concept of tolerance rough sets theory is proposed in this paper, and the theory is employed to build objects´ tolerance relations that can correctly classify objects in system. And the examples illustrating our approaches are presented in the paper for further confirmation.
Keywords
computational complexity; data mining; rough set theory; computational complexity; data mining; tolerance rough sets theory based knowledge reduction method; Algorithm design and analysis; Biological cells; Classification algorithms; Complexity theory; Data mining; Information systems; Rough sets;
fLanguage
English
Publisher
ieee
Conference_Titel
E-Product E-Service and E-Entertainment (ICEEE), 2010 International Conference on
Conference_Location
Henan
Print_ISBN
978-1-4244-7159-1
Type
conf
DOI
10.1109/ICEEE.2010.5661315
Filename
5661315
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