Some Topological Properties of Rough Sets with Tools for Data Mining
Rough set theory has a significant importance in many fields. For example, some branches of artificial intelligence, such as inductive reasoning, automatic classification, pattern recognition, learning algorithms, classification theory, cluster analysis, measurement theory and taxonomy. Also, in the domains of Medicine, Pharmacology, Banking, Market research and Engineering the rough set theory has demonstrated its usefulness. The main aim of this paper is to describe some topological properties of rough sets and open the door about more accurate topological measures of data mining.
Keywords: Rough Sets; Topological Spaces; Rough Approximations; Data Reduction; Data Mining; Rule Extraction
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