%0 Journal Article
%T Improved ReliefF algorithm applied in detecting image spam<br>改进ReliefF算法在图像型垃圾邮件检测中的应用研究
%A LIU Wei
%A ZHANG Feng-li
%A CHENG Hong-rong
%A WAN Ming-cheng
%A <br>刘伟
%A 张凤荔
%A 程红蓉
%A 万明成
%J 计算机应用研究
%D 2009
%I 
%X The spread of image spam brought much a pernicious influence on society.The application of image spam filters holds back the spread of image spam.At the depletion of time and the accuracy,they can't satisfy both sides.This paper proposed an ReliefF feature selection algorithm based on feature redundancy(R-ReliefF algorithm),getting the features of iamge spams firstly,and discreted the features according to property of the featuresthe,then applied it on the optimization of the set of image spam features disc...
%K image spam
%K feature redundancy
%K feature selection algorithm
%K subset of features<br>图像型垃圾邮件
%K 特征冗余度
%K 特征选择算法
%K 特征子集
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=D88B74072BA0AD1CF03E4C45CAA44539&yid=DE12191FBD62783C&vid=96C778EE049EE47D&iid=9CF7A0430CBB2DFD&sid=B6B3C150E7B1D878&eid=078A215E74931DA7&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=1&reference_num=20