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OALib Journal期刊
ISSN: 2333-9721
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Research on spam filtering system based on visual features analysis
基于形象特征分析的垃圾邮件过滤系统的研究

Keywords: visual features,spam,one-class support vector machine
形象特征
,垃圾邮件,一类支持向量机,形象特征,特征分析,垃圾邮件,邮件过滤系统,研究,analysis,features,visual,based,system,误判率,探测率,过滤效果,系统模型,结果,实验,一类支持向量机,使用,提取,图像

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Abstract:

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.

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