Conception Hierarchy Tree classifiers which is a statistical approach have played an important role in Attribute-Oriented Induction.
其中概念层次树作为一种统计类的数据分类方法在面向属性的归纳分类方法中起着重要作用。
Statistical studies have shown that the rotor broken bar fault, which account for nearly 10% of total induction motor failures, is the most familiar fault for induction motors.
历史数据表明，转子断条是感应电机最常见的故障，占其全部故障种类的10%左右。
A statistical inductive learning approach is proposed to investigate GIS attribute data mining. This approach integrates statistical analysis with attribute oriented induction method.
将统计分析方法和面向属性的归纳方法结合起来，形成了一种应用面比较广的统计归纳学习方法，可以用于GIS属性数据挖掘。
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