Ending Spam
Bayesian Content Filtering and the Art of Statistical Language Classification
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 filtersAfter 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 Markov…
Mehr
CHF 47.50
Preise inkl. MwSt. und Versandkosten (Portofrei ab CHF 40.00)
V113:
Lieferbar in ca. 20-45 Arbeitstagen
Produktdetails
- ISBN: 978-1-59327-052-0
- EAN: 9781593270520
- Produktnummer: 1004998
- Verlag: Random House N.Y.
- Sprache: Englisch
- Erscheinungsjahr: 2005
- Seitenangabe: 289 S.
- Masse: H23.6 cm x B18.0 cm x D1.9 cm 510 g
- Auflage: 1., Aufl.
- Abbildungen: s/w. Abb.
- Gewicht: 510
Über den Autor
Jonathan A. Zdziarski has been fighting spam for eight years, and has spent a significant portion of the past two years working on the next generation spam filter DSPAM, with up to 99.985% accuracy. Zdziarski lectures widely on the topic of spam.
Bewertungen
Anmelden