2007•Journal of Nanjing Institute of TechnologyRequires access

Research on Data Mining for Attribute Reduction Based on Rough Set Theory

Shen Chen-ming

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Abstract

Rough set theory is a mathematical tool to study the processing of incomplete and uncertain knowledge,of which attribute reduction is one of the essential parts.This paper expounds the basic ideas of rough set theory and introduces illuminating algorithm for minimum reduction.Finally an example is given to testify the practicability and efficiency of the algorithm.

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Rough set theory is a mathematical tool to study the processing of incomplete and uncertain knowledge,of which attribute reduction is one of the essential parts.This paper expounds the basic ideas of rough set theory and introduces illuminating algorithm for minimum reduction.Finally an example is given to testify the practicability and efficiency of the algorithm.

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Available abstract

Rough set theory is a mathematical tool to study the processing of incomplete and uncertain knowledge,of which attribute reduction is one of the essential parts.This paper expounds the basic ideas of rough set theory and introduces illuminating algorithm for minimum reduction.Finally an example is given to testify the practicability and efficiency of the algorithm.

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

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