2006Computer Technology and DevelopmentRequires access

Knowledge Reduction and Rule Acquirement Method in Decision Table

Sun Sheng

Open publisher page 2 citations

Abstract

Rough set theory is a new data mining and decision analysis method.Knowledge reduction and decision rule mining in decision table by using rough set theory has become a research hotspot.The article introduces basic concepts in rough set theory first.Minimal decision rule acquirement in decision table based on rough set theory is researched.A heuristic approach for rule reduction is put forward,and the procedure of decision rule acquirement is illuminated using an example.The instance analysis shows its validity.

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What this paper is about

Rough set theory is a new data mining and decision analysis method.Knowledge reduction and decision rule mining in decision table by using rough set theory has become a research hotspot.The article introduces basic concepts in rough set theory first.Minimal decision rule acquirement in decision table based on rough set theory is researched.A heuristic approach for rule reduction is put forward,and the procedure of decision rule acquirement is illuminated using an example.The instance analysis shows its validity.

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Available abstract

Rough set theory is a new data mining and decision analysis method.Knowledge reduction and decision rule mining in decision table by using rough set theory has become a research hotspot.The article introduces basic concepts in rough set theory first.Minimal decision rule acquirement in decision table based on rough set theory is researched.A heuristic approach for rule reduction is put forward,and the procedure of decision rule acquirement is illuminated using an example.The instance analysis shows its validity.

Key concepts: Rough set, Decision table, Computer science, Decision rule, Dominance-based rough set approach, Data mining, Admissible decision rule, Reduction (mathematics)

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