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

Ending Spam: Bayesian Content Filtering and the Art of Statistical Language Classification - gebrauchtes Buch

ISBN: 9781593270520

ID: 7281393

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. TOup> Introduction PART I: An Introduction to Spam Filtering Chapter 1: The History of Spam Chapter 2: Historical Approaches to Fighting Spam Chapter 3: Language Classification Concepts Chapter 4: Statistical Filtering Fundamentals PART II: Fundamentals of Statistical Filtering Chapter 5: Decoding: Uncombobulating Messages Chapter 6: Tokenization: The Building Blocks of Spam Chapter 7: The Low-Down Dirty Tricks of Spammers Chapter 8: Data Storage for a Zillion Records Chapter 9: Scaling in Large Environments PART III: Advanced Concepts of Statistical Filtering Chapter 10: Testing Theory Chapter 11: Concept Identification: Advanced Tokenization Chapter 12: Fifth-Order Markovian Discrimination Chapter 13: Intelligent Feature Set Reduction Chapter 14: Collaborative Algorithms Appendix: Shining Examples of Filtering Index Ending Spam: Bayesian Content Filtering and the Art of Statistical Language Classification Zdziarski, Jonathan A., No Starch Press

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Ending Spam - Jonathan A. Zdziarski
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)

Jonathan A. Zdziarski:

Ending Spam - Taschenbuch

2005, ISBN: 1593270526

ID: 13396775539

[EAN: 9781593270520], Neubuch, [PU: No Starch Inc. Jul 2005], DATENSICHERHEIT / INTERNET; E-MAIL; FILTER; INTERNET SUCHMETHODEN, SPEZIELLE ANWENDER; KLASSIFIKATION; COMPUTERS DATA TRANSMISSION SYSTEMS GENERAL, Neuware - Join author Jonathan 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 curios 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. 289 pp. Englisch

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Ending Spam - Jonathan A. Zdziarski
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Jonathan A. Zdziarski:
Ending Spam - Taschenbuch

2005

ISBN: 1593270526

ID: 13397853352

[EAN: 9781593270520], Neubuch, [PU: No Starch Inc. Jul 2005], DATENSICHERHEIT / INTERNET; E-MAIL; FILTER; INTERNET SUCHMETHODEN, SPEZIELLE ANWENDER; KLASSIFIKATION; COMPUTERS DATA TRANSMISSION SYSTEMS GENERAL, Neuware - Join author Jonathan 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 curios 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. 289 pp. Englisch

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Ending Spam - Jonathan A. Zdziarski
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)
Jonathan A. Zdziarski:
Ending Spam - Taschenbuch

1, ISBN: 9781593270520

[ED: Taschenbuch], [PU: No Starch Inc.], Neuware - Join author Jonathan 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 curios 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. -, [SC: 18.00]

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Ending Spam - Jonathan A. Zdziarski
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)
Jonathan A. Zdziarski:
Ending Spam - Taschenbuch

2005, ISBN: 9781593270520

[ED: Taschenbuch], [PU: No Starch Inc.], Neuware - Join author Jonathan 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 curios 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., [SC: 0.00]

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Details zum Buch
Ending Spam: Bayesian Content Filtering and the Art of Statistical Language Classification
Autor:

Zdziarski, Jonathan A.

Titel:

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

ISBN-Nummer:

1593270526

Fascinating reading for any geek, this landmark title describes, in-depth, how statistical filtering is being used by next generation spam filters to identify and filter spam.

Detailangaben zum Buch - Ending Spam: Bayesian Content Filtering and the Art of Statistical Language Classification


EAN (ISBN-13): 9781593270520
ISBN (ISBN-10): 1593270526
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2005
Herausgeber: NO STARCH PR
287 Seiten
Gewicht: 0,508 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 14.02.2007 14:15:37
Buch zuletzt gefunden am 25.07.2016 12:52:43
ISBN/EAN: 1593270526

ISBN - alternative Schreibweisen:
1-59327-052-6, 978-1-59327-052-0

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