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| Ending Spam: Bayesian Content Filtering and the Art of Statistical Language Classification | 
| Author: Jonathan Zdziarski
Publisher: No Starch Press
Category: Book
List Price: $39.95
Buy New: $23.94
You Save: $16.01 (40%)
Buy New/Used from $8.79
Avg. Customer Rating:  (14 reviews)
Sales Rank: 358738
Format: Illustrated
Languages: English (Original Language), English (Unknown), English (Published)
Media: Paperback
Number Of Items: 1
Pages: 312
Shipping Weight (lbs): 1.1
Dimensions (in): 9.1 x 7 x 0.7
ISBN: 1593270526
Dewey Decimal Number: 005.713
EAN: 9781593270520
ASIN: 1593270526
Publication Date: July 1, 2005
Release Date: July 1, 2005
Availability: Usually ships in 1-2 business days
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Product 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.
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| Customer Reviews: Read 9 more reviews...
 Outstanding as a text for applied Bayesian stats June 25, 2008
1 out of 1 found this review helpful
This is one of my favorite NLP books because it offers an extremely readable introduction to Bayesian statistics in a very applied context. If you don't have a strong background in statistics and/or text classification, this book is a great way to get an intuitive feel for how Bayesian classifiers work. If you're a developer looking to do some coding, what's explained in the book is easy to translate into code. I recommend this book to upper-level undergrads and graduate students in linguistics who take an applied computational linguistic class I teach.
 ivan's review August 8, 2007
1 out of 2 found this review helpful
There is too much (for me) about marginal matters such as the history of spam and minute details of various methods.I was looking for a clear exposition of the principles of filtering and the corresponding mathematics but thisI can't find. The term "decision matrix" is used a lot without being defined.The stuff concerning Bayesian filters on page 76 is quite meaningless. It's all very disappointing.
Great book! January 19, 2007
0 out of 1 found this review helpful
This book provides the history of spam, so we know how it all started, as well as the reasoning and theories behind the current spam technologies, whithout getting bogged down in minutia. I found this book quick and enjoyable to read. Very informative. Highly suggested if you are a sysAdmin (like me) who has or will build a spam filter, or wants to know how they work and why. Good for programmers as well looking for the theories.
excellent book January 3, 2007
1 out of 1 found this review helpful
Reading this book was fun. I was doing some research on spam and found this book was exactly what I was looking for. This book covers (almost) all aspects of spam, including the history, the current status, the principles of anti-spam systems, statistical algorithms, case studies, etc. This book is a good start point for understanding spams and means to stop them, although it does not contain a lot of in-depth technical details. I was amazed by the author's style, which was quite energetic and entertaining. This book made my research a pleasant experience. I strongly recommend this book for those who are interested to know how spams came and how we fight them.
Great February 20, 2006
2 out of 4 found this review helpful
Awesome read. For those who are in the SpamAssassin mindset and are considering DSPAM, this is a definite must!
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