SpamWeed v.3 6
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Description
Spam filter that uses Bayesian and other statistical technologies, for all POP3 e-mail clients.
- Rate:
- Release Date:04/10/2011
- License:Shareware
- Category:File and Disk
- Developer:Shuttle Technologies
- Downloads:9
- Price: $29.95
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System Requirements
SpamWeed requires Windows.
SpamWeed v.3 6 Copyright
Shareware Junction periodically updates pricing and software information of SpamWeed v.3 6 full version from the publisher using pad file and submit from users. Software piracy is theft, Using crack, password, serial numbers, registration codes, key generators, cd key, hacks is illegal and prevent future development of SpamWeed v.3 6 Edition. Download links are directly from our publisher sites. Links SpamWeed v.3 6 from Bittorrent, mediafire.com, uploadfiles.com, hotfiles.com rapidshare.com, megaupload.com, netload.in, storage.to, depositfiles.com and other files hosting are not allowed. The download file is obtained directly from the publisher, not from any Peer to Peer file sharing applications such as Shareaza, Limewire, Kazaa, Imesh, eDonkey, eMule, Ares, BearShare, Overnet, Morpheus, BitTorrent Azureus and WinMX.
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SpamWeed for Outlook/OE/Windows Mail v.3. 1. 1953
SpamWeed Email Manager is a full featured email classifier. It not only blocks all spam messages, but also automatically classifies good email into categories. SpamWeed's core engine is close to human intelligence,
SpamWeed Anti-Spam Filter v.2 3
SpamWeed is an innovative spam filter for all POP3 email clients (Outlook, Outlook Express, Eudora, Incredimail, Pegasus Mail and others). It uses a combination of statistical classification, ID-tracking and other state-of-the-art technologies.
SpamWeed v.3 6
Spam filter that uses Bayesian and other statistical technologies, for all POP3 e-mail clients.
Spam Weed
SpamWeed combines various state-of-the-art spam filtering technologies to achieve best spam detection rate, accuracy and ease of use. Whatever you requirements for a spam filter, you can get a solution with SpamWeed. Pre-trained refined Bayesian learning