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Ending spam : Bayesian content filtering and the art of statistical language classification /
Ending Spam describes, in-depth, how statistical filtering is being used by next-generation spam filters to identify and filter unwanted email. Readers gain a complete understanding of the mathematical approaches used in today's spam filters, decoding, tokenization, the use of various algorithm...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
San Francisco :
No Starch Press,
2005.
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| Edición: | 1st ed. |
| Temas: | |
| Acceso en línea: | Texto completo |
| Sumario: | Ending Spam describes, in-depth, how statistical filtering is being used by next-generation spam filters to identify and filter unwanted email. Readers gain a complete understanding of the mathematical 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. |
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| Notas: | Includes index. |
| Descripción Física: | 1 online resource (xx, 287 pages) |
| ISBN: | 9781593270858 1593270852 |