1) e-mail filter gateway
过滤邮件网关
2) KSG
邮件过滤网关
1.
This article puts forward the technology of loading equilibria using KSG.
该文分析了邮件过滤技术发展状况,从客户的需求角度出发,分析了对基于POP协议的邮件过滤网关的研究的可行性。
2.
It contents with this need to exploit KSG.
随着Internet的普及和电子邮件的广泛使用,电子邮件的防毒迫在眉睫,邮件过滤网关硬件专有系统的开发正好迎合了这一需求。
3) spam filtering
邮件过滤
1.
Method of image-based spam filtering of e-mails based on image similarity detection;
基于图像相似性检测的图像垃圾邮件过滤方法
2.
Application and Improvment of Naive Bayes on anti-spam filtering;
Naive Bayes算法在垃圾邮件过滤系统中的应用与改进
3.
The preprocessing method for spam filtering system is discussed.
完成了邮件过滤系统中的预处理工作。
4) email filtering
邮件过滤
1.
Research on standard sample generation system for email filtering;
用于邮件过滤的标准样本生成系统研究
2.
The disadvantages of the email filtering system based on the individual client will present when they face to the spammers who have some technologies.
基于单客户端的垃圾邮件过滤系统面对技术越来越高明的垃圾邮件发布者已经突现出它的弱点,多Agent技术为垃圾邮件过滤系统的设计提供了新的思路。
5) E-mail filtering
邮件过滤
1.
Research on anti-spam e-mail filtering algorithm based on Bayesian;
基于贝叶斯的垃圾邮件过滤算法的研究
2.
As a result,research of e-mail filtering should be considered as dealing with the uncertainties.
不同用户对邮件的合法性有着不同的认识,因此对邮件过滤的研究应视为不确定信息处理问题,该文提出了一种融合有序加权平均(OWA)算子与模糊支持向量机(FSVM)的邮件过滤方法。
3.
The E-mail filtering based on text classification has become the main method to solve spam crisis at present,but it is still short of standardized pattern and filtering mechanism with high retrieval performance.
通过实验加以验证,说明提出的方法在邮件过滤的查全率、查准率等几个性能评价指标上,比传统的Rocchio方法有了明显改善。
6) mail filtering
邮件过滤
1.
Mail Filtering with Application of Sieve;
用Sieve实现邮件过滤
2.
Maximum entropy model is applied to mail filtering,and considering the semi-structure characteristic of e-mail,improved definitions of feature function are given to construct better feature vectors for e-mails.
将最大熵模型引入到邮件过滤中,结合邮件的半结构化特性,给出改进的特征函数定义,形成邮件特征向量。
3.
A new expression of Email vectors in super-high dimensional vectors space, and an innovative algorithm of filtering junk-mails based on the consideration of risks of false discretion are proposed in this paper, which can minimize the risks of mail filtering by imitating the cognition learning process of human beings, and combining the method of systems classification and users discretion.
提出了超高维向量空间中的一种新的邮件向量表示方法,在考虑邮件误判风险的基础上,给出了一种基于认知学习模式的邮件过滤新算法。
补充资料:过滤过程与过滤机分类
过滤过程与过滤机分类 | |
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说明:补充资料仅用于学习参考,请勿用于其它任何用途。
参考词条