论文利用面向属性归纳和决策树C4。
This paper applies attribute-oriented induction and decision trees(C4.
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.
在面向属性归纳(AOG)的数据挖掘中，属性归约及概念归纳都离不开概念层次。
In data mining with Attribute-Oriented generalization (AOG), attribute reduction and concept generalization can not part from concept hierarchy.
本文首先研究了基本的面向属性归纳，提出了从网站用户登录信息中挖掘用户特征规则的思路。
The article researches into basic attribute-oriented induction, and puts forward the method of mining characteristic rule from user registering information to web sites.
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.
面向属性的归纳(AOG)可以用于数据简化。
Attribute oriented generalization (AOG) can be used in data reduction.
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.
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.
第四章论述了概念描述在统计信息系统中的应用，主要包括面向属性的归纳和属性相关分析两大内容。
Chapter Four discussed the application of concept description in statistical information system, including AOI and attribute relevance analysis mainly.
第四章论述了概念描述在统计信息系统中的应用，主要包括面向属性的归纳和属性相关分析两大内容。
Chapter Four discussed the application of concept description in statistical information system, including AOI and attribute relevance analysis mainly.
应用推荐