Study on discretization based on rough set theory

Jian-hua Dai, Yuan-xiang Li
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引用次数: 31

Abstract

Discretization of attributes with real values is an important problem in data mining based on rough set. And discretization based on rough set has some particular characteristics. The method of discretization based on rough set and Boolean reasoning is discussed. Determination of. candidate cuts is discussed in detail. A theorem is proposed. to show that all bound cuts can discern the same objects pairs as the whole initial cuts. A strategy to select candidate cuts is proposed based on the theorem. Under the strategy, the space complexity and time complexity of improved algorithm decline obviously. The experiments results also confirm that.
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基于粗糙集理论的离散化研究
实值属性的离散化是基于粗糙集的数据挖掘中的一个重要问题。基于粗糙集的离散化有其独特的特点。讨论了基于粗糙集和布尔推理的离散化方法。的决心。详细讨论了备选削减方案。提出了一个定理。为了证明所有的限定切割都能识别出与整个初始切割相同的对象对。在此基础上,提出了一种候选切点的选择策略。在此策略下,改进算法的空间复杂度和时间复杂度明显下降。实验结果也证实了这一点。
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