Discovering attribute relationships, dependencies and rules by using rough sets

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	Similar Articles Articles by W. Ziarko Articles by Ning Shan

28th Hawaii International Conference on System Sciences (HICSS'95)

Discovering attribute relationships, dependencies and rules by using rough sets (PDF)

Hawaii, USA

January 04-January 07

ISBN: 0-8186-6940-3

	ASCII Text	x
	W. Ziarko, Ning Shan, "Discovering attribute relationships, dependencies and rules by using rough sets," Hawaii International Conference on System Sciences, pp. 293, 28th Hawaii International Conference on System Sciences (HICSS'95), 1995.

	BibTex	x
	@article{ 10.1109/HICSS.1995.375608, author = {W. Ziarko and Ning Shan}, title = {Discovering attribute relationships, dependencies and rules by using rough sets}, journal ={Hawaii International Conference on System Sciences}, volume = {0}, year = {1995}, issn = {1060-3425}, pages = {293}, doi = {http://doi.ieeecomputersociety.org/10.1109/HICSS.1995.375608}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Hawaii International Conference on System Sciences TI - Discovering attribute relationships, dependencies and rules by using rough sets SN - 1060-3425 SP EP A1 - W. Ziarko, A1 - Ning Shan, PY - 1995 KW - knowledge acquisition; set theory; deductive databases; attribute relationships; dependencies; rules; rough sets; knowledge discovery; information generalization; data relationships; knowledge acquisition VL - 0 JA - Hawaii International Conference on System Sciences ER -

W. Ziarko, Dept. of Comput. Sci., Regina Univ., Sask., Canada

Ning Shan, Dept. of Comput. Sci., Regina Univ., Sask., Canada

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/HICSS.1995.375608

The paper reviews the methodology of the application of the theory of rough sets to the problem of knowledge discovery in databases. The methodology is based on the idea of information generalization, to look at the data at various levels of abstraction, followed by the discovery, analysis and simplification of significant data relationships, dependencies, fundamental factors and rules.

Index Terms:

knowledge acquisition; set theory; deductive databases; attribute relationships; dependencies; rules; rough sets; knowledge discovery; information generalization; data relationships; knowledge acquisition

Citation:

W. Ziarko, Ning Shan, "Discovering attribute relationships, dependencies and rules by using rough sets," hicss, pp.293, 28th Hawaii International Conference on System Sciences (HICSS'95), 1995

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