-BEGIN PGP SIGNED MESSAGE-
Hash: SHA1
jdow wrote:
| From: "Craig McLean" <[EMAIL PROTECTED]>
|
|>-BEGIN PGP SIGNED MESSAGE-
|>Hash: SHA1
|>
|>Johnson, S wrote:
|>
|>>
|>>I'm looking at creating an email address to capture spam and only be
|>>used for spam. Since I can be guaranteed
From: "Craig McLean" <[EMAIL PROTECTED]>
> -BEGIN PGP SIGNED MESSAGE-
> Hash: SHA1
>
> Johnson, S wrote:
> >
> >
> > I'm looking at creating an email address to capture spam and only be
> > used for spam. Since I can be guaranteed that all email I received to
> > this address is spam, is
At 12:04 PM 5/10/2005, Johnson, S wrote:
I'm looking at creating an email address to capture spam and only be used
for spam. Since I can be guaranteed that all email I received to this
address is spam, is there a way to weigh this higher in the sa-learn?
No. Although exhaustive or weighted train
-BEGIN PGP SIGNED MESSAGE-
Hash: SHA1
Johnson, S wrote:
>
>
> Im looking at creating an email address to capture spam and only be
> used for spam. Since I can be guaranteed that all email I received to
> this address is spam, is there a way to weigh this higher in the sa-learn?
>
Spam i
I’m looking at creating an email address to capture spam and only
be used for spam. Since I can be guaranteed that all email I received to this
address is spam, is there a way to weigh this higher in the sa-learn?
=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=
Confidentiality Notice
If th
