Explains how spam works, how network administrators can implement spam filters, or how programmers can develop new remarkably accurate filters using language classification and machine learning. Original. (Advanced)
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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.
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Da: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Paperback. Condizione: Fair. Through considerable research, creative minds have invented 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 spam. Zdziarski explains how spam filtering works and how language classification and machine learning combine to produce remarkably accurate spam filters. 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. Interviews with the creators of many of the best spam filters provide further insight into the anti-spam crusade. Codice articolo 00099468962
Quantità: 1 disponibili
Da: BooksRun, Philadelphia, PA, U.S.A.
Paperback. Condizione: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting. Codice articolo 1593270526-8-1
Quantità: 1 disponibili
Da: World of Books Inc, Montgomery, IL, U.S.A.
Paperback. Condizione: Fair. Through considerable research, creative minds have invented 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 spam. Zdziarski explains how spam filtering works and how language classification and machine learning combine to produce remarkably accurate spam filters. 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. Interviews with the creators of many of the best spam filters provide further insight into the anti-spam crusade. Codice articolo CIN1593270526A
Quantità: 1 disponibili
Da: ThriftBooks-Dallas, Dallas, TX, U.S.A.
Paperback. Condizione: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less. Codice articolo G1593270526I5N00
Quantità: 1 disponibili
Da: Chapter 1, Johannesburg, GAU, Sudafrica
Soft cover. Condizione: Very Good. 1st Edition. The wraps are a bit creased. Internally clean and tightly bound. Our orders are shipped using tracked courier delivery services. Codice articolo 211x
Quantità: 1 disponibili
Da: HALCYON BOOKS, LONDON, Regno Unito
Paperback. Condizione: Very Good. NEW EU 3 EURO CHARGE FOR IMPORTS IS INCLUDED IN OUR SHIPPING PRICE. ALL ITEMS ARE DISPATCHED FROM THE UK, ALL OVERSEAS ORDERS SENT BY TRACKABLE AIR MAIL. IF YOU ARE LOCATED OUTSIDE THE UK PLEASE ASK US FOR A POSTAGE QUOTE FOR MULTI VOLUME SETS BEFORE ORDERING. Codice articolo mon0000837576
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Da: Libro Co. Italia Srl, San Casciano Val di Pesa, FI, Italia
Brossura. Condizione: fine. 2005; br., pp. 288, cm 23x18. Libro. Codice articolo 1660864
Quantità: 1 disponibili
Da: GoldBooks, Denver, CO, U.S.A.
Paperback. Condizione: new. New Copy. Customer Service Guaranteed. Codice articolo 67K88_30_1593270526
Quantità: 1 disponibili