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。
A statistical inductive learning approach is proposed to investigate GIS attribute data mining. This approach integrates statistical analysis with attribute oriented induction method.
本文论述了运用基于概念的面向属性归纳方法来发现分类规则的有关问题以及数据分类器的实现。
This paper discusses the relevant problems of applying the method of Concept-Based Attribute-Oriented to find classification rule, also expounds the implemented data classifier.
面向属性归纳是一种广泛使用的数据挖掘方法。
Attribute oriented induction is a method for data mining that has recently been widely applied.
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。
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。
Conception Hierarchy Tree classifiers which is a statistical approach have played an important role in Attribute-Oriented Induction.
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