Project Summary
Are you tired of the constant bombardment of your inbox by unwanted email pushing everything from porn to get rich quick schemes? Have you tried other spam filters but become disenchanted with them when you realized that their manually generated rule sets weren't updated fast enough to keep up with spammers wording changes? Or that they generated unwanted false positive scores?
SpamProbe operates on a different basis entirely. Instead of using pattern matching and a set of human generated rules SpamProbe relies on a Bayesian analysis of the frequency of words used in spam and non-spam emails received by an individual person. The process is completely automatic and tailors itself to the kinds of emails that each person receives.
Quick Reference
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- Code Locations:
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:pserver:anonymous:@spamprobe.cv...
- Licenses:
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In a Nutshell, SpamProbe...
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took an estimated 4 years of effort (COCOMO model)
starting with its first commit in August, 2002
ending with its most recent commit about 9 years ago
Activity
30 Day Summary Apr 15 2013 — May 15 2013
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12 Month Summary May 15 2012 — May 15 2013
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Community
Copyright
©
2013
Black Duck Software, Inc.
and its contributors, Some Rights Reserved. Unless otherwise marked, this work is licensed under a
Creative Commons Attribution 3.0 Unported License
. Ohloh
®
and the Ohloh logo are trademarks of
Black Duck Software, Inc.
in the United States and/or other jurisdictions. All other trademarks are the property of their respective holders.