Review
A highly recommended read for anyone in charge of controlling spam in a corporate environment. --
Midwest Book Review, September 2005 (http://www.midwestbookreview.com/mbw/sep_05.htm)Does a good job of addressing advanced, complicated issues, but putting it in terms that readers can grasp. --
Netsecurity.about.com, August 29, 2005, http://netsecurity.about.com/od/5/fr/aabrendspam.htmDoes a great job educating us on logic and thought taken to combat this SPAM blight on the Internet. --
MacCompanion, August 2005, 5 out of 5 starsHighly recommended read for anyone in charge of controlling spam in a corporate environment [and] on their own system. --
Readers Preference, readerspreference.com/reviews/endingspam.htmlIT managers who want a better understanding of how anti-spam products work should shell out the $39.95 price at once. --
eWeek, July 25, 2005If youre looking for a primer on how the anti-spam battle is fought, you cant do much better. --
InfoWorld, July 14, 2005,Leads the charge against what has become a very significant challenge to both productivity and sanity --
Book News, September 2005 (http://www.booknews.com/issues/sci-current.pdf)Not only enjoyable but actually captivating. --
Linux Magazine, October 2005 (http://www.linux-magazine.com/issue/59/Book_Reviews.pdf)The first book explaining the fine details of the theoretical models and machine-learning algorithms implemented in these filters. --
Slashdot, August 15, 2005This book is down, and dirty, loaded with information, and will make your head-hurt (in a good way). --
MyMac, August 29, 2005, mymac.com/showarticle.php?id=2074
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, youll have a complete understanding of the mathematical approaches used by todays 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 youre a programmer designing a new spam filter, a network admin implementing a spam-filtering solution, or just someone whos 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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