摘要
本文介绍了数据库技术的现状、数据挖掘的方法以及它在 Bayesian网建网技术中的应用 :通过数据挖掘解决 Bayesian网络建模过程中所遇到的具体问题 ,即如何从大规模数据库中寻找各变量之间的关系以及如何确定条件概率问题。
The main content discussed in this paper is about the present status of databases,the method of data mining and it's application in the network establishing of Bayesian: to solve the specific problems of modeling of Bayesian network by means of data mining, i g how to look for the relationship between all the variables from a mass of databases and how to identify the conditional possibility
出处
《广西工学院学报》
CAS
2000年第2期57-59,共3页
Journal of Guangxi University of Technology
关键词
数据挖掘
函数依赖
条件概率
数据库
data mining
functional dependence
conditional possibility
