%0 Journal Article
%T Decision tree classification algorithm based on Bayesian method<br>基于贝叶斯方法的决策树分类算法
%A FAN Jian-cong
%A ZHANG Wen-yin
%A LIANG Yong-quan
%A <br>樊建聪
%A 张问银
%A 梁永全
%J 计算机应用
%D 2005
%I 
%X According to the characteristic and essence of data mining and taking advantage of Bayesian method, a new classification method named BD1.0 algorithm was presented. This method combined the prior information and information gain method of decision tree, The design and analysis of the algorithm was introduced too, The experiment results show that the algorithm can deal with dirty data such as incomplete data or inconsistent data, and it is more accurate than only useing Bayesian method or decision tree, It has approximate time complexity with C4.5 algorithm,
%K data mining
%K classification
%K Bayesian principle
%K decision tree<br>数据挖掘
%K 分类
%K 贝叶斯原理
%K 决策树
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=EF15064FB23DA6D7&yid=2DD7160C83D0ACED&vid=C5154311167311FE&iid=59906B3B2830C2C5&sid=9DA3D7FB2D9A6691&eid=312A7B4D8C5C538C&journal_id=1001-9081&journal_name=计算机应用&referenced_num=3&reference_num=9