摘要
在数据挖掘的数据预处理中,判定树和贝叶斯法是数据清理上的填充空缺值的两种有效方法。文章介绍两种方法在填充空缺值中具体应用,并分析两种方法在维修技术人员管理信息系统中技术级别的填充和判定上的应用和比较,发现判定树法具有更加简单、高效的特点。
In the preprocessing of data mining, two methods are widely used cision tree and Bayesian method. The particular application of these two methods the foundation of analysis and comparison in a practical maintenance MIS using grade. It will be showed that decision tree is more simple and efficient. for filling up vacancy in data cleaning, dein filling up vacancy is introduced, and on these two methods to judge the technical
出处
《舰船电子工程》
2011年第7期109-112,共4页
Ship Electronic Engineering
关键词
数据挖掘
数据预处理
判定树
贝叶斯法
级别判定
data mining
data preprocessing
decision tree
Bayesian method
grade determinant