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- W3141315852 abstract "为数据分类的一个方法将影响分类的效率。基于在不平的集合的矩阵和 discernibility 功能能在数据分类使用的 discernibility 归因减小，因此我们为数据分类提出了一个方法。第一，也就是，我们使用 discernibility 矩阵和 discernibility 功能在形成系统删除过剩属性并且得到一个必要属性集合。第二，我们删除过剩属性价值并且得到决定规则。最后，我们借助于决定规则分类数据。用这个方法的数据分类在结构是更简单的 Theexperiments 表演，和罐头改进分类的效率。" @default.
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- W3141315852 date "2006-01-01" @default.
- W3141315852 modified "2023-09-27" @default.
- W3141315852 title "A Method for Data Classification Based on Discernibility Matrix and Discernibility Function" @default.
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