为提高粗集约简的效率，提出了一种基于条件信息量的快速粗集约简算法。

To improve the efficiency of attribute reduction, a rapid reduction algorithm based on conditional information quantity is proposed.

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本论文主要讲述数据挖掘中采用粗糙集方法实现数据预处理中冗余属性约简的问题。

This paper mainly discusses topics on solving attribute reduction problems by applying rough set methods in the field of scientific data mining.

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本文研究基于对象定向概念格和属性定向概念格协调决策形式背景属性约简的问题。

Basing on the object oriented concept lattice and the attribute oriented concept lattice, this paper deals with approaches to attribute reduction in consistent decision formal context.

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