%0 Journal Article
%T Principal Component Analysis-based Approach for Multivariate Decision Tree Construction
基于主成分分析的多变量决策树构造方法*
%A ZHAO Xiang
%A LIU Tong-ming
%A
赵翔
%A 刘同明
%J 计算机应用研究
%D 2005
%I
%X Most decision tree construction algorithms check up only one attribute on each node.This class of decision tree,called univariate decision tree,ignores the connection effect among the attributes inside the certain information system,which is actually wide
%K Data Mining
%K Univariate Decision Tree
%K Multivariate Decision Tree
%K Principal Component Analysis
数据挖掘
%K 单变量决策树
%K 多变量决策树
%K 主成分分析
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=F99BF96142C9993B66FFE20C09C0C2D7&yid=2DD7160C83D0ACED&vid=BC12EA701C895178&iid=9CF7A0430CBB2DFD&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=0