Then applies it in the spam mail.
并把它应用到反垃圾邮件中。
You don't know what to do with all your spam mail.
你不知道你做的所有邮件送达。
It's spam mail, people, not social-networking-based viral video.
是兜售邮件，伙计们，不是基于社交网络的病毒性视频。
Finally introduced the fundamental step of filtering spam mail with Bayesian algorithm.
最后介绍了贝叶斯过滤算法反垃圾邮件的基本步骤。
In its most recent test, SpamAssassin differentiated between spam and non-spam mail correctly in 99.94% of cases.
在最近的测试中，SpamAssassin区分垃圾邮件和非垃圾邮件的正确率达到了99.94%。
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。
If you decide to use this script, you should record the date, E-mail addresses, spam score, processing, and other information.
如果您决定使用这个脚本，那么您应该记录日期、电子邮件地址、垃圾邮件得分、处理以及其他的信息。
It is virtually impossible to avoid the spam and, even if you never publish your E-mail address, the chances are you will get spam.
事实上，垃圾邮件是不可能避免的，即使您从未发布过您的电子邮件地址，您仍然有可能收到垃圾邮件。
By creating a set fingerprint for the basic structure of the E-mail, you can identify it as spam.
通过为电子邮件的基本结构创建一组指纹，您可以将其识别为垃圾邮件。
When you publish anything with your E-mail address in it, one major concern is unsolicited commercial E-mail, or spam.
当您发布任何含有您电子邮件地址的信息时，一个主要问题是多余的商业电子邮件或垃圾邮件。
When filtering e-mail for spam and viri, it's very easy to forget that a metric to monitor how effective your solutions are at removing the spam are a good idea.
当过滤电子邮件中的垃圾邮件和病毒时，应该使用某个指标来监视您的解决方案在删除垃圾邮件方面的效率，而这一点很容易被忘记。
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。
The problem with spam is that it tends to swamp desirable e-mail.
垃圾邮件的问题是，它会将正常的电子邮件淹没。
Use a good spam filter to remove the truly unnecessary mail.
利用一个好的垃圾邮件过滤器去过滤掉那些确实不需要的邮件。
Common examples of supervised learning include classifying E-mail messages as spam, labeling Web pages according to their genre, and recognizing handwriting.
监管学习的常见例子包括将电子邮件消息分类为垃圾邮件，根据类别标记网页，以及识别手写输入。
The same rule applies to auto-whitelisting, missed spam that gets through means the e-mail address is added to your whitelist, even thought it's technically spam.
同样的规则也适用于自动白名单，遗漏的垃圾邮件意味着该电子邮件地址将添加到您的白名单中，即使从技术上说它的确是垃圾邮件。
The quantities in each cell represent the number of correctly identified messages vs. incorrectly identified messages for each technique tested against each body of E-mail, good and spam.
每个单元中的数量表示，在对每个电子邮件(合法邮件和垃圾邮件中)正文所测试的每种技术，正确识别出的消息和错误识别出的消息的数目的对比。
Stop spam robots from extracting E-mail addresses from your pages that hackers could use to send spam e-mails.
阻止发送垃圾邮件的机器从您的页面中提取电子邮件地址，黑客可能会使用这些地址发送垃圾邮件。
When are E-mail rules relevant and when are they just more spam?
何时电子邮件规则是相关的，以及何时它们仅仅是更多的垃圾邮件？
Set up your software to a low setting and you'll get most of your mail, but lots of spam.
设置在低级别，你会收到大部分邮件，还有许多垃圾信息。
Encourage your recipients to white-list this address. This will usually trump all other anti-spam checks in delivering mail to large ISPs.
鼓励收件人将你的地址列入可信任名单，这样就能通过所有反垃圾邮件的排查。
In general, the higher the score, the more likely the E-mail is to be spam.
一般来说，得分越高，该电子邮件越有可能是垃圾邮件。
In particular, be careful of using the auto-blacklisting service built into spam solutions, as they add all E-mail addresses identified as spam to the blacklists.
特别是，在使用垃圾邮件解决方案中内置的自动黑名单服务时要格外小心，因为它们会将标识为垃圾邮件的所有电子邮件的地址都添加到黑名单中。
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。
Scoring mail against a spam model in a production cluster frequently.
在生产集群上频繁根据垃圾邮件模式为邮件计分。
As for spam, ISPs (including mail service providers) could limit their users to, say, 100 e-mails a day; for more, you have to pay or at least post a security bond, or pass some good behavior test.
对于垃圾邮件，网络服务商(包括邮件服务商)应该对用户有所限制，比如说每天只能发一百封邮件，更进一步说，你得付费，或至少发布安全债券，或通过一个好的行为测试才行。
This unfortunately shows that more than 62 percent of the E-mail received was blocked because it was spam.
很不幸的是，从以上内容中可以看出，在接收到的电子邮件中，超过62%的电子邮件受到了阻止，因为它们是垃圾邮件。
But, if the spam contained an advert for some drugs, then it's highly likely that one of the matching mechanisms or Bayesian filters would identify the E-mail as spam.
但是，如果垃圾邮件包含一些药品的广告，那么使用某种匹配机制或者Bayesian过滤器很可能可以识别出该电子邮件是一封垃圾邮件。
But, if the spam contained an advert for some drugs, then it's highly likely that one of the matching mechanisms or Bayesian filters would identify the E-mail as spam.
但是，如果垃圾邮件包含一些药品的广告，那么使用某种匹配机制或者Bayesian过滤器很可能可以识别出该电子邮件是一封垃圾邮件。
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