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Internet / Software / Bayesian spam filtering / Anti-spam techniques / Email spam / Spam / Email filtering / Whitelist / Bayesian poisoning / Spam filtering / Spamming / Computing


SpamGuru: An Enterprise Anti-Spam Filtering System Richard Segal, Jason Crawford, Jeff Kephart, Barry Leiba IBM Thomas J. Watson Research Center {rsegal, ccjason, kephart, barryleiba}@us.ibm.com Abstract. Spam-reduction
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Document Date: 2011-04-20 17:23:23


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City

M. Wong / Lyon / /

Company

IBM / JClassifier / /

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Facility

pipeline While / SpamGuru’s pipeline / /

IndustryTerm

e-mail infrastructure / mail server / large-scale enterprise anti-spam systems / spam router / automated tools / pilot server / Internet Draft / feature extraction algorithms / anti-spam solutions / final algorithm / downstream processing / black-listing algorithm / pattern discovery algorithm / spam-identification tools / anti-spam solution / anti-spam server / pure server-based solution / e-mailers / learning algorithms / modest hardware / /

Organization

Barry Leiba IBM Thomas J. Watson Research Center / /

Person

Joel Ossher / V / Robert Filepp / Barry Leiba / Mike Halliday / Isidore Rigoutsos / Paul Graham / Mary Ellen Zurko / Mark Wegman / Rajan / G. Paliouras / V / Shlomo Hershkop / Tien Huynh / Nathaniel Borenstein / Jason Crawford / Thomas J. Watson / /

Position

Intelligent Assistant for Organizing E-Mail / Manager E-Mail Client / administrator / Intelligent Assistant / Incoming SpamGuru Anti-Spam Server Bulk Mail Manager / /

Product

SpamGuru pilot server / SpamGuru Server / /

Technology

computationally expensive algorithms / system for the automatic identification / filtering technologies / spam router / Bioinformatics / Natural Language Processing / DNS / Teiresias pattern discovery algorithm / black-listing algorithm / learning algorithms / feature extraction algorithms / final algorithm / Preferences E-Mail Challenge Server Queue Spam Router / TEIRESIAS algorithm / Winnowing algorithm / DSL / cable modems / /

URL

http /

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