Ending Spam: Bayesian Content Filtering and the Art of Statistical Language Classification - Softcover

Zdziarski, Jonathan A

 
9781593270520: Ending Spam: Bayesian Content Filtering and the Art of Statistical Language Classification
Softcover
ISBN 10: 1593270526 ISBN 13: 9781593270520
Verlag: No Starch Press, 2005

Inhaltsangabe

Join author Jonathan Zdziarski for a look inside the brilliant minds that have conceived clever new ways to fight spam in all its nefarious forms. This landmark title describes, in-depth, how statistical filtering is being used by next-generation spam filters to identify and filter unwanted messages, how spam filtering works, and how language classification and machine learning combine to produce remarkably accurate spam filters

After reading Ending Spam you´ll have a complete understanding of the mathematical approaches used by today´s spam filters as well as decoding, tokenization, various algorithms (including Bayesian analysis and Markovian discrimination), and the benefits of using open-source solutions to end spam. Zdziarski interviewed creators of many of the best spam filters and has included their insights in this revealing examination of the anti-spam crusade.

If you´re a programmer designing a new spam filter, a network admin implementing a spam-filtering solution, or just someone who´s curios about how spam filters work and the tactics spammers use to evade them, Ending Spam will serve as an informative analysis of the war against spammers.

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Über die Autorin bzw. den Autor

Jonathan A. Zdziarski has been fighting spam for eight years, and has spent a significant portion of the past two years working on the next generation spam filter DSPAM, with up to 99.985% accuracy. Zdziarski lectures widely on the topic of spam.

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Verlag
No Starch Press
Erscheinungsdatum
2005
Sprache
Englisch
ISBN 10 
1593270526
ISBN 13 
9781593270520
Einband
Taschenbuch
Auflage
1
Anzahl der Seiten
289
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
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