concept generalization

基本解释

Attribute-oriented induction (concept generalization) is a kind of KDD method widely used.
面向属性的归纳学习（亦称概念提升）是一种广泛使用的知识发现方法。
In data mining with Attribute-Oriented Generalization(AOG), attribute reduction and concept generalization can not part from concept hierarchy.
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。
Through concept generalization and deleting irrelevant dimension, various association rules less than 7D can be evolved from the 7D image association rules model 7D_AR.
通过概念提升及删除无关维，由七维图像关联规则模型7D_AR可以演化出维数小于七维的各种关联则。