SOFTWIN Total Security 2011, RNW, DE, 5u, 1Y Guía de usuario Pagina 103

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3. Select the undetected spam messages.
4. Click the Is Spam button on the BitDefender antispam toolbar (normally located
in the upper part of the mail client window). This indicates to the Learning Engine
that the selected messages are spam. They are immediately marked as [spam]
and moved to the junk mail folder. The next e-mail messages that fit the same
patterns will be marked as [spam].
18.3.3. Retraining the Learning Engine (Bayesian)
If your antispam filter is very inaccurate, you may need to wipe the Bayesian
database and retrain the Bayesian filter.
Before training the Learning Engine (Bayesian), prepare a folder containing only
SPAM messages and another one containing only legitimate messages. The Learning
Engine will analyze them and learn the characteristics that define the spam or
legitimate messages that you usually receive. In order for the training to be efficient,
there must be over 50 messages in each category.
To reset the Bayesian database and retrain the Learning Engine, follow these steps:
1. Open your mail client.
2. On the BitDefender antispam toolbar, click the Wizard button to start the
antispam configuration wizard.
3. Click Next.
4. Select Skip this step and click Next.
5. Select Clear antispam filter database and click Next.
6. Select the folder containing legitimate messages and click Next.
7. Select the folder containing SPAM messages and click Next.
8. Click Finish to start the training process.
9. When training is completed, click Close.
18.3.4. Saving and Loading Bayesian Database
You can save the Bayesian database to a file so that you can use it with another
BitDefender product or after reinstalling BitDefender.
Click the Settings button on the BitDefender antispam toolbar.
To save the Bayesian database, click the Save Bayes button and save it to the
desired location. The file will have a .dat extension.
To load a previously saved Bayesian database, click the Load Bayes button and
open the corresponding file.
Antispam
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