%0 Journal Article
%T Document classification algorithm based on KDA and SVM<br>基于KDA和SVM的文档分类算法
%A WANG Zi-qiang
%A QIAN Xu
%A <br>王自强
%A 钱旭
%J 计算机应用
%D 2009
%I 
%X To efficiently solve Web document classification problem,a novel document classification algorithm based on kernel discriminant analysis(KDA) and SVM was proposed.The proposed algorithm firstly reduced the high dimensional Web document space in the training sets to the lower dimensional space with KDA algorithm,then the classification and predication in the lower dimensional feature space were implemented with the multiplicative update-based optimal SVM.The experimental evaluations were performed on the Reu...
%K document classification
%K kernel discriminant analysis
%K support vector machine
%K data mining<br>文档分类
%K 核鉴别分析
%K 支持向量机
%K 数据挖掘
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=A354203A80E29EF27F23F5DF883EB74B&yid=DE12191FBD62783C&vid=771469D9D58C34FF&iid=0B39A22176CE99FB&sid=1FF3CD54EFC256A1&eid=6B3068A7C27BD349&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=9