New effective method for spam filtering.
一种有效的垃圾邮件过滤新方法。
Summarized the state of the spam filtering.
概述了垃圾邮件过滤研究的现状。
Advanced spam filtering, enhanced SPF stops most spam early.
先进的垃圾邮件过滤，加强防晒最垃圾早日停止。
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。
Spam filtering solutions are a necessary evil in today's e-mail climate.
在如今的电子邮件时代中，垃圾邮件过滤解决方案是非常重要的。
It can be used in spam filtering, or in your own shell scripts to use.
它可以用于垃圾邮件过滤，或在你自己的外壳脚本中使用。
It can be used in spam filtering, or in your own shell SCR ipts to use.
它可以用于垃圾邮件过滤，或在你自己的外壳脚本中使用。
The fundamentals of the white and blacklists used in spam filtering are very simple.
在垃圾邮件过滤中使用的白名单和黑名单的基本原理是非常简单的。
The Bayesian spam filtering technique works by comparing "spam" words with "normal" words.
Bayesian垃圾邮件过滤技术通过将“垃圾邮件”单词与“正常”单词进行比较来实现过滤任务。
This main goal of this paper is to explore a specific spam filtering model, implement and test it.
本论文课题的主要目标是探索一种具体的垃圾邮件过滤模型，实现并测试该模型。
Using a spam filtering solution catches a significant amount of spam, but many fail to reach 100 percent reliability.
使用垃圾邮件过滤解决方案可以捕获大量的垃圾邮件，但是很难实现100%的可靠性。
By giving different scores to different parts of the spam filtering methods, you can ultimately provide an effective score.
通过为垃圾邮件过滤方法的不同部分给出不同的得分，您最终可以提供一个有效的得分。
A fairly aggressive technique for spam filtering is what I would call the "whitelist plus automated verification" approach.
对于垃圾邮件的过滤，有一种主动性相当强的技术，我想称之为“白名单加自动验证”方法。
This spam filtering system includes E-mail capturing module, E-mail filtering module, database and administrant module.
该系统按其功能可以划分为邮件采集模块、邮件过滤模块、数据库和管理维护模块等四个部分。
By analyzing normal user receiving behavior characteristics, spam filtering model based on the receiving MUA is proposed.
分析正常用户接收行为特征，提出了基于接收的邮件用户代理行为过滤模型。
What Cheng and co have started is a cat and mouse game just like those that plague the antivirus and spam filtering industries.
对于程和他的合作者来说这是一个猫鼠游戏，就像疫症和抗菌素、垃圾邮件和邮件过滤行业一样。
Therefore, the research on spam filtering based on semantic grid has a strong theoretical significance and application value.
所以，语义网格在垃圾邮件过滤领域的研究应用具有很强的理论意义和应用价值。
Combining rough sets with decision tree, a spam filtering solution based on rough sets and decision tree (RS-DT) was proposed.
将粗糙集与决策树结合，提出一个基于RS - DT的邮件分类方案与模型，并进行了实验及结果分析。
We finally described a Spam Filtering model and realization of the prototype based on Bayesian model with related improvements.
最后给出基于贝叶斯及其改进算法的邮件过滤模型及基于该框架的垃圾邮件过滤原型系统的实现。
At the fields of spam filtering, information security and Automatic Abstracting, text orientation identification is used widely.
文本倾向性识别在垃圾邮件过滤、信息安全和自动文摘等领域都有广泛的应用。
A prototype system was implemented to analyze the data collected from the users employing the system as their spam filtering tool.
实现了一个原型系统，收集使用其作为垃圾邮件过滤器的用户的数据进行分析。
At the fields of spam filtering, information security and automatic summarizations, text orientation identification is used widely.
文本倾向性识别在垃圾邮件过滤、信息安全和自动文摘等领域都有广泛的应用。
The merits and weak points of each algorithm are analyzed and compared, and a spam filtering model based on ID5R algorithm is presented.
介绍了垃圾邮件过滤技术，对决策树算法的基本思想进行阐述，分析比较其优点和不足，给出了基于ID5R算法的垃圾邮件过滤模型。
However, the ICF goes on to say that while spam filtering is effective in reducing energy waste, fighting it at the source is far better.
然而，ICF继续说，尽管垃圾邮件过滤有效的减少能源浪费，但直接打击它的源头要好更多。
To enhance recall ratio and precision ratio of information retrieval, the paper designs the model of spam filtering based on semantic grid.
本文以增强语义信息，提高搜索的查全率和查准率为目标，设计了基于语义网格的垃圾邮件过滤模块。
Spam filtering programs using A.I. learning and classification techniques correctly identify over 99.9% of the 200 billion spam e-mails sent each day.
垃圾邮件过滤程序使用基于人工智能的学习和分类技术，每天从所有邮件里鉴别出2000亿封垃圾邮件中的99.9%。
On the basis of analyzing the traditional spam filtering techniques, this paper presents a novel anti-spam technique based on the users feedback.
在分析传统垃圾邮件过滤技术的基础上，提出了一种基于用户反馈的反垃圾邮件技术。
Finally, bear in mind that even employing all these solutions in combination with an existing spam filtering solution might not resolve the problem entirely.
最后请记住，即使在现有的垃圾邮件过滤解决方案中组合使用了所有的这些解决方案，可能仍然无法彻底解决问题。
We advance a concept of degree-of-contribution(DC) witch measure a feature's contributions to Spam Filtering, based on the probability of it appears in Spam and Ham.
根据邮件特征出现在垃圾邮件和非垃圾邮件中概率不同，提出了特征对邮件分类贡献度的概念，并给出了其计算公式。
Many of us are bombarded with spam every day and hate it. Although there are a few email providers that provide great spam filtering services, sometimes that just isn't enough.
很多人天天遭受垃圾邮件的轰击而咬牙切齿，尽管有一些邮件提供商提供了很强大的垃圾邮件过滤服务，但有时候还不够用。
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