%0 Journal Article
%T Research method of Web log mining technology with combination of SVM and KNN<br>结合SVM和KNN的Web日志挖掘技术研究方法
%A ZENG Jun
%A <br>曾俊
%J 计算机应用研究
%D 2012
%I 
%X This paper used SVM and KNN algorithm together to form a new classification algorithm for Web text-SVM-KNN algorithm. When optimal super plane distance of Web text and SVM was greater than the preselected threshold, used SVM to classify, otherwise it adopted KNN algorithm to classify the samples of SVM as the representative point. The experimental results show that the accuracy of SVM-KNN classification algorithm are better than pure SVM or KNN classification algorithm, and the Web text classification provides an effective classification method.
%K 支持向量机
%K 数据挖掘
%K 网页分类
%K 特征提取
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=F886A295C1E57CC510B6595BFE09D93B&yid=99E9153A83D4CB11&vid=771469D9D58C34FF&iid=94C357A881DFC066&sid=9F69600ECF0EFD70&eid=A2D60850BF3030B0&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=10