%0 Journal Article
%T Improved Algorithm for Decision Tree Based on Positive Region<br>一种改进的基于正区域的决策树算法
%A GAO Jing YANG Bing-ru XU Zhang-yan SONG Wei
%A <br>高静
%A 杨炳儒
%A 徐章艳
%A 宋威
%J 计算机科学
%D 2008
%I 
%X In this paper,the relationship of selected attribute standards between based on positive region,based on rough bound and based on attribute dependency is firstly analyzed.At the same time,it is proved that the three kinds of selected attribute standards are equivalent to each other.And then advantages and disadvantages of algorithm for constructing decision tree based on positive region are analyzed.Meanwhile,aiming at these disadvantages,a new se- lected attribute standard based on adjoint positive region ...
%K Decision tree
%K Rough set
%K Positive region
%K Rough bound
%K Attribute dependency
%K Adjoint positive region<br>决策树
%K 粗糙集
%K 正区域
%K 粗糙边界
%K 依赖度
%K 伴随正区域
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=697705510A5A16309BE6B688AA3C06A8&yid=67289AFF6305E306&vid=6209D9E8050195F5&iid=94C357A881DFC066&sid=09E495F616948E78&eid=E22B6B8FE86DD8F9&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=20