The Applications of Rough Set Theory to Data Mining
Kuang Hai-lan, Ke Luo
Abstract
Kuang Hai-lan, Ke Luo
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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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