datasets for GRDEISCDM

These data are 29 benchmark datasets from the University of California at Irvine (UCI) machine learning repository. We discretized all the numerical attributes using the minimum description length (MDL) method for datasets-GRDEISCDM(MDL) and replacing all missing values for data-GRDEISCDM(UR+MDL).

本数据集包含29个取自加州大学欧文分校（University of California at Irvine, UCI）机器学习库的基准数据集。针对数据集-GRDEISCDM(MDL)，我们采用最小描述长度（minimum description length, MDL）方法对所有数值属性完成离散化处理；针对数据集-GRDEISCDM(UR+MDL)，我们对其所有缺失值进行了替换填补。