Another possibility would be to generate meta rules from random sets of
three rules. Some (actually random) examples:
meta RANDOM_3_A = (MPART_ALT_DIFF && GAPPY_SUBJECT && URI_UNSUBSCRIBE)
meta RANDOM_3_B = (RCVD_IN_MAPS_OPS && WEIRD_PORT && FSL_FAKE_GMAIL_RCVD)
meta RANDOM_3_C = (FB_CAN_LONGER &
On 09/27, Marc Perkel wrote:
> Here's the kind of think I'm seeing. Spam talks about money - low
> score. Spam talks about Jesus - low score. Spam talks about money
> and Jesus and throw in a dear someone and it's spam. I'm hoping to
> detect combinations automatcally.
You're not really talking ab
On 9/25/2011 5:37 PM, RW wrote:
On Sun, 25 Sep 2011 09:28:32 -0700
Marc Perkel wrote:
Here's what I'd like to be able to do. I'd like a program of some
sort where I could take word tokes - like name of rules that were
triggered - and look for rule combinations that indicate spam or ham.
For e
