摘要
面向属性归纳的方法以关系的或面向属性的操作实现数据挖掘过程。文中将统计分析方法和面向属性的归纳方法接合起来 ,形成了一种应用比较广的数据挖掘方法。同时提出属性数据挖掘可分为两个层次 ,包括从数据产生模型和从数据归纳出知识。从数据推导出的模型可以进行数据预处理和定量描述变量之间的关系 ;
The attribute induction approach perform data mining through rational or attribute oriented operation.This approach integrates statistical analysis with attribute oriented induction method.Attribute data mining is divided into two hierarchies:from data to model and from data to knowledge.From data to model can do data pretreatment and describe relations of variables with ration.From data to knowledge can obtain general rules in high levels.
出处
《河北省科学院学报》
CAS
2002年第1期20-24,共5页
Journal of The Hebei Academy of Sciences