...文档 - 枢研网 关键词：连续属性离散化；粗糙集；属性可分辨率 [gap=1046]Key words】discretization of continuous attributes; rough set; attribute discernibility rate ...
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The discretization of Continuous attributes is one of the important contents in application study of rough sets.
连续属性离散化是粗糙集应用研究的重点内容之一。
Discretization of continuous attributes is always one of the key problems that need urgent solutions in rough sets theory.
连续属性的离散化是粗糙集理论亟待解决的关键问题之一。
Most data mining and induction learning methods can only deal with discrete attributes; therefore, discretization of continuous attributes is necessary.
很多数据挖掘方法只能处理离散值的属性，因此，连续属性必须进行离散化。
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