Discovering attribute relationships, dependencies and rules by using rough sets

Authors:
W. Ziarko;Ning Shan
Affiliations:
-;-
Venue:
HICSS '95 Proceedings of the 28th Hawaii International Conference on System Sciences
Year:
1995

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Abstract

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.