2005Journal of Hengyang Normal UniversityRequires access

The Applications of Rough Set Theory to Data Mining

Kuang Hai-lan, Ke Luo

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Abstract

Rough set theory is a novel mathematical tool transacting vagueness and uncertainty. In the passed 20 years, Rough Set theory has become an important method for data mining. This paper mainly discuss applications of Rough Set theory in data mining.

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What this paper is about

Rough set theory is a novel mathematical tool transacting vagueness and uncertainty. In the passed 20 years, Rough Set theory has become an important method for data mining. This paper mainly discuss applications of Rough Set theory in data mining.

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Available abstract

Rough set theory is a novel mathematical tool transacting vagueness and uncertainty. In the passed 20 years, Rough Set theory has become an important method for data mining. This paper mainly discuss applications of Rough Set theory in data mining.

Key concepts: Rough set, Vagueness, Dominance-based rough set approach, Set theory, Data mining, Set (abstract data type), Data set, Computer science

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