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

Zdziarski, Jonathan

ISBN 10: 1593270526 / ISBN 13: 9781593270520

Edité par 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. N° de réf. du vendeur 1593270526-11-1

Synopsis :

Through considerable research, creative minds have invented 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 spam. Zdziarski explains how spam filtering works and how language classification and machine learning combine to produce remarkably accurate spam filters. Readers gain a complete understanding of the mathematical approaches used in today's spam filters, decoding, tokenization, the use of various algorithms (including Bayesian analysis and Markovian discrimination), and the benefits of using open-source solutions to end spam. Interviews with the creators of many of the best spam filters provide further insight into the anti-spam crusade.

À propos de l?auteur: 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.

Détails bibliographiques

Titre : Ending Spam: Bayesian Content Filtering and ...
Éditeur : No Starch Press (edition 1)
Date d'édition : 2005
Reliure : Paperback
Etat : Good
Edition : 1.