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。
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。
Summarized the state of the spam filtering.
概述了垃圾邮件过滤研究的现状。
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。
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。
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。
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。
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。
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。
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。
It has many spam filtering methods at present, but the spam is increasing, the aftermath shows that existing spam filtering methods do not achieve the satisfactory effect.
尽管目前已经存在许多的垃圾邮件过滤方法，但是垃圾邮件不降反升的局面表明，已有的垃圾邮件过滤方法并未取得理想的过滤效果。
In this paper, a set of spam filtering solutions is designed, after studying the principle of email and the spam filtering methods, and a spam filtering system is developed.
本课题在对电子邮件原理和垃圾邮件的过滤方法进行分析研究的基础上，设计了一个垃圾邮件过滤的解决方案，并实现了垃圾邮件过滤系统。
Using the techniques in this article either removes the responsibility from you to manually update the systems, or empowers you to help improve the overall spam filtering solution.
使用本文中介绍的各种技术，可以使您不再需要手动地更新系统、或者可以帮助您对整体垃圾邮件过滤解决方案进行改进。
By introducing the novel users' feedback mechanism, the technique adopts an improved Na? Ve Bayesian approach to construct classifiers for specific users to fulfill spam filtering.
该技术通过引入用户反馈机制，使用改进的朴素贝叶斯方法，构建面向特定用户的过滤器，从而进行垃圾邮件过滤。
The system helps to improve the spam filtering by improving the knowledge of the system about what is and isn't spam, and it can be seen here in an updated version of the spam solution in Figure 2.
通过提高系统关于哪些是垃圾邮件、哪些不是垃圾邮件的认识，系统可以帮助改进垃圾邮件的过滤能力，在图2的垃圾邮件解决方案的更新版本中，可以看到这一点。
To help describe how you can improve the process, Figure 1 shows a typical spam filtering solution where the e-mail is filtered as it comes in, and the e-mail is delivered into individual mailboxes.
为了帮助描述如何改进这个过程，图1显示了一个典型的垃圾邮件过滤解决方案，在该方案中，在电子邮件进入时对其进行过滤，然后将电子邮件发送到不同的邮箱中。
Ultimately, you want to make sure that your e-mail system and the spam filtering solution have the right information and the right quality of information to enable them to filter the spam effectively.
最终，您还应该确保您的电子邮件系统和垃圾邮件过滤解决方案拥有合适的信息和高质量的信息，以使得它们能够有效地对垃圾邮件进行过滤。
Through multiple text features extraction from email and short message service (SMS) document, some spam filtering experiments are run on TREC07P email corpus and real Chinese SMS corpus separately.
抽取电子邮件和手机短信的多种文本特征，分别在TREC07P电子邮件语料和真实中文手机短信语料上进行了垃圾信息过滤实验。
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。
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。
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