2012Computer Engineering and Applications JournalOpen access

Attribute reduction based on conditional distribution information quantity in incomplete information system

Wei Wang

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Abstract

By analyzing of attribute reduction based on the view of information theory in incomplete information system,it brings up a definition of conditional distribution information quantity.This information quantity comes from the distribution that condition attributes determinate tolerance class on the division of decision attribute.At the same time,new attribute significance is defined,and a heuristic attribute reduction algorithm is given.Experimental results shows that this algorithm is effective for attribute reduction in incomplete decision table.

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By analyzing of attribute reduction based on the view of information theory in incomplete information system,it brings up a definition of conditional distribution information quantity.This information quantity comes from the distribution that condition attributes determinate tolerance class on the division of decision attribute.At the same time,new attribute significance is defined,and a heuristic attribute reduction algorithm is given.Experimental results shows that this algorithm is effective for attribute reduction in incomplete decision table.

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Available abstract

By analyzing of attribute reduction based on the view of information theory in incomplete information system,it brings up a definition of conditional distribution information quantity.This information quantity comes from the distribution that condition attributes determinate tolerance class on the division of decision attribute.At the same time,new attribute significance is defined,and a heuristic attribute reduction algorithm is given.Experimental results shows that this algorithm is effective for attribute reduction in incomplete decision table.

Key concepts: Reduction (mathematics), Attribute domain, Variable and attribute, Decision table, Heuristic, Data mining, Rough set, Computer science

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