|System||Binary Distributions||CVS/rsync Source Distributions|
|Description:||Spam filtering using Bayesian statistics (1.0a-1002)|
* Spam detection using Bayesian analysis of terms contained in each email. Words used often in spams but not in good email tend to indicate that a message is spam. * Written in C++ for good performance. Database access using BerkeleyDB for quick startup and fast term count retrieval. * Recognition and decoding of MIME attachments in quoted-printable and base64 encoding. Automatically skips non-text attachments. MIME decoding enables SpamProbe to make decisions based on words in the emails rather than base64 gobbledigook. * Counts two word phrases as well as single words for higher precision.
|Maintainer:||Daniel Sohl <fordATanentDOTorg>|
CVS log, Last Changed: Fri, 10 Feb 2012 21:44:03 (UTC)
(*) = Unsupported distribution.