Proceedings Paper
A direct approach for incomplete information systems| Format | Member Price | Non-Member Price |
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Paper Abstract
There are already some extensions of rough set theory for incomplete information systems, such as tolerance relation, limited tolerance relation, similarity relation, and etc. But there are no approaches and algorithms for these extensions. A direct approach for processing incomplete information systems is developed in this paper, including discretization, attribute reduction, value reduction, and rule matching. This approach can be used in all kinds of extensions of rough set theory for incomplete information systems. It is both effective in complete and incomplete information systems.
Paper Details
Date Published: 12 April 2004
PDF: 8 pages
Proc. SPIE 5433, Data Mining and Knowledge Discovery: Theory, Tools, and Technology VI, (12 April 2004); doi: 10.1117/12.539679
Published in SPIE Proceedings Vol. 5433:
Data Mining and Knowledge Discovery: Theory, Tools, and Technology VI
Belur V. Dasarathy, Editor(s)
PDF: 8 pages
Proc. SPIE 5433, Data Mining and Knowledge Discovery: Theory, Tools, and Technology VI, (12 April 2004); doi: 10.1117/12.539679
Show Author Affiliations
Hai Huang, Chongqing Univ. of Posts and Telecommunications (China)
Guoyin Wang, Chongqing Univ. of Posts and Telecommunications (China)
Guoyin Wang, Chongqing Univ. of Posts and Telecommunications (China)
Yu Wu, Chongqing Univ. of Posts and Telecommunications (China)
Published in SPIE Proceedings Vol. 5433:
Data Mining and Knowledge Discovery: Theory, Tools, and Technology VI
Belur V. Dasarathy, Editor(s)
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