%0 Journal Article
%T Research on spam filtering system based on visual features analysis<br>基于形象特征分析的垃圾邮件过滤系统的研究
%A LU Song feng
%A GU Gui bing
%A GAN Zao bin
%A <br>路松峰
%A 辜桂兵
%A 甘早斌
%J 计算机应用研究
%D 2007
%I 
%X After analyzing a large collection of spare e-mails containing images,proposed an anti-spam system based on visual features analysis.It extracted useful visual features and used one-class support vector machine to identify and filter spam.The experimental results indicate that the proposed method can get satisfactory,filtering effect with higher detection rate and lower false positives.
%K visual features
%K spam
%K one-class support vector machine<br>形象特征
%K 垃圾邮件
%K 一类支持向量机
%K 形象特征
%K 特征分析
%K 垃圾邮件
%K 邮件过滤系统
%K 研究
%K analysis
%K features
%K visual
%K based
%K system
%K 误判率
%K 探测率
%K 过滤效果
%K 系统模型
%K 结果
%K 实验
%K 一类支持向量机
%K 使用
%K 提取
%K 图像
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=C793235A4E87B8F679F505F96126BF9B&yid=A732AF04DDA03BB3&vid=B91E8C6D6FE990DB&iid=9CF7A0430CBB2DFD&sid=228A710F49B6CE58&eid=9C65ADEB5990B252&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=9