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SpamButcher - Behind the Cleaver
I began working with the results of my analysis of the spam archive, to come up with a few dozen fuzzy anti-spam email filtering rules.
It turned out it was possible to stop spam mail with surprisingly good accuracy using a small code base. Within the first few tries I was able to filter roughly 85% of spam.
I continued to analyze the message bases to determine additional appropriate filters. Further increases to the spam e-mail filter's performance became incrementally more difficult over time.
After extensive continuing to analyze the spam message store, I was able to increase the filter effectiveness to around 95%.
I had also collected a large archive of legitimate email. While many of the emails contained individual text strings that were included in the filter - none of them had enough to set of the filter. This was a strong indication that fuzzy logic was a very appropriate technology to use for antispam email applications. A simple text based filter would have thrown the baby out with the bathwater.