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AntispamSniper for The Bat!
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Version
2.7.1.5
The statistical trainable classification algorithm has
unique characteristics. It learns your private
correspondence, extracts the distinguishing features
from the messages of different classes, and uses that
information for analysing the other incoming messages.
The algorithm improves its classification quality
continuously with each new learned message. It is
possible to track back the history of classifying
messages and training the plug-in using a filtering
log.
The plug-in can delete spam right on the server by
headers, using a list of account settings. The
accounts for filtering can be added manually or
automatically for non-secure connections. The rest of
messages are downloaded to email client for filtering
by full content, and the messages with high spam ratio
are moved to a special folder automatically.
The plug-in supports several complementary methods in
addition to statistical algorithm: black and white
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