[PDF.47qi] Ending Spam: Bayesian Content Filtering and the Art of Statistical Language Classification
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Ending Spam: Bayesian Content Filtering and the Art of Statistical Language Classification
Jonathan Zdziarski
[PDF.sz29] Ending Spam: Bayesian Content Filtering and the Art of Statistical Language Classification
Ending Spam: Bayesian Content Jonathan Zdziarski epub Ending Spam: Bayesian Content Jonathan Zdziarski pdf download Ending Spam: Bayesian Content Jonathan Zdziarski pdf file Ending Spam: Bayesian Content Jonathan Zdziarski audiobook Ending Spam: Bayesian Content Jonathan Zdziarski book review Ending Spam: Bayesian Content Jonathan Zdziarski summary
| #2085240 in Books | No Starch Press | 2005-07-01 | 2005-07-01 | Original language:English, German | PDF # 1 | 9.25 x.72 x7.00l,1.12 | File type: PDF | 312 pages | Spam | Filtering | Ending Spam | Jonathan A. Zdziarski||3 of 4 people found the following review helpful.| Good but not great...|By Diego|I have been watching the development of dspam for quite a while and was interested in the concept behind the new crop of spam detection engines.
This book gives you a lot of background on the growth of spam and the various type of spam on how each new variant of spam effects different type of spam detection with obvious concentration on||A highly recommended read for anyone in charge of controlling spam in a corporate environment. -- Midwest Book , September 2005 (http://www.midwestbookreview.com/mbw/sep_05.htm)
Does a good job of addressing advanced, complicated issues, but
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.
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