一种新的连续属性离散化方法

E. Xu, Liangshan Shao, Yongchang Ren, Hao Wu, Feng Qiu
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引用次数: 5

摘要

针对信息系统中的离散化问题,提出了一种基于相对熵和粗糙集理论的连续属性离散化方法。该方法利用候选区间类信息熵选择阈值边界进行离散化。通过检测各属性的切点值,去除冗余的切点,实现信息系统条件属性和决策属性的离散化。实验结果表明,该方法简单有效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A New Discretization Approach of Continuous Attributes
To deal with the discretization problem in an information system, a new discretization approach of continuous attributes is proposed in this paper based on the relative entropy and rough set theory. The candidate interval class-information entropy is used to select the threshold boundary for discretization in this method. And the redundant cut points are removed through the inspection of the cut point value of each attribute to discretize the condition attributes and decision attributes in an information system. Experiment results show that the method is simple and effective.
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