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

Zdziarski, Jonathan

ISBN 10: 1593270526 / ISBN 13: 9781593270520

Verlag: No Starch Press (edition 1), 2005

It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience. Bestandsnummer des Verkäufers 1593270526-11-1

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.

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.

Bibliografische Details

Titel: Ending Spam: Bayesian Content Filtering and ...
Verlag: No Starch Press (edition 1)
Erscheinungsdatum: 2005
Einband: Paperback
Zustand: Good
Auflage: 1.