Ending Spam: Bayesian Content Filtering and the Art of Statistical Language Classification by Jonathan A. Zdziarski

From the Publisher

Considerable research and some brilliant minds have inventedclever new ways to fight spam in all its nefarious forms.This landmark title describes, in-depth, how statisticalfiltering is being used by next generation spam filters toidentify and filter spam. The author explains how spamfiltering works and how language classification and machinelearning combine to produce remarkably accurate spamfilters. Readers gain a complete understanding of themathematical 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 spamfilters provide further insight into the anti-spam crusade.Fascinating reading for any geek.

Slashdot.org

Jonathan Zdziarski has made another significant contribution (after DSPAM) to the anti-spam community. Whether you are a system administrator, anti-spam researcher, engineer or a newbie interested in fighting spam, this book is a great reference.

Product Details

• ISBN: 1593270526
  
• ISBN-13: 9781593270520
• Format: Paperback, 287pp
• Publisher: No Starch Press San Francisco, CA
• Pub. Date: July 2005
• Sales Rank: 578,456

• Table of Contents

Table of Contents