2014•Advanced materials researchOpen access

Value Reduction Algorithm Based on Attribute Union

Yang Liu, Cong Hua Lan, Zhan Hong Tang

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Abstract

The paper proposed a new algorithm of attribute value reduction use attribute union, only need to scan decision table one time, through simple operation can get all the concise rules. To avoid the decision information table for repeatedly and a large number of operations, algorithm is presented a new method of calculating rules metrics and rules extraction methods, it can not only get a concise decision rules, but also keep the accuracy of decision rules are the same. Example analysis proves the feasibility of the algorithm, and deal effectively with consistent decision table and inconsistent decision table, it can keep the decision table of information remains the same.

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What this paper is about

The paper proposed a new algorithm of attribute value reduction use attribute union, only need to scan decision table one time, through simple operation can get all the concise rules. To avoid the decision information table for repeatedly and a large number of operations, algorithm is presented a new method of calculating rules metrics and rules extraction methods, it can not only get a concise decision rules, but also keep the accuracy of decision rules are the same. Example analysis proves the feasibility of the algorithm, and deal effectively with consistent decision table and inconsistent decision table, it can keep the decision table of information remains the same.

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Available abstract

The paper proposed a new algorithm of attribute value reduction use attribute union, only need to scan decision table one time, through simple operation can get all the concise rules. To avoid the decision information table for repeatedly and a large number of operations, algorithm is presented a new method of calculating rules metrics and rules extraction methods, it can not only get a concise decision rules, but also keep the accuracy of decision rules are the same. Example analysis proves the feasibility of the algorithm, and deal effectively with consistent decision table and inconsistent decision table, it can keep the decision table of information remains the same.

Key concepts: Decision table, Table (database), Data mining, Computer science, Reduction (mathematics), Decision rule, Value (mathematics), Algorithm

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