%0 Journal Article
%T Review of Recent Development in Decision Tree Algorithm in Data Mining<br>数据挖掘中决策树算法的最新进展
%A HAN Hui
%A MAO Feng
%A WANG Wen-yuan
%A <br>韩慧
%A 毛锋
%A 王文渊
%J 计算机应用研究
%D 2004
%I 
%X This paper summarizes the fundamentals and advantages of traditional decision trees, and the limits of decision trees under data mining environment where magnitude data sets are used. From five aspects, the author then emphasizes the improvements of decision trees in order to meet the requirement of data mining in recent years. Finally, the paper analyses the challenges to the field and the possible improvements of decision tree algorithm in the future.
%K Decision Tree
%K Classification
%K Data Mining<br>决策树
%K 分类
%K 数据挖掘
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=050EB18148487BD3&yid=D0E58B75BFD8E51C&vid=659D3B06EBF534A7&iid=59906B3B2830C2C5&sid=94C357A881DFC066&eid=5D311CA918CA9A03&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=25&reference_num=14