Ending Spam

Description

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

Author Jonathan A Zdziarski
Publisher No Starch Press
ISBN 1593270526
Release Date Jul 01, 2005

Book Description
Join author John 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 curious
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.

Links

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