Ending spam : Bayesian content filtering and the art of statistical language classification / Jonathan A. Zdziarski.

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...

Full description

Saved in:
Bibliographic Details
Main Author: Zdziarski, Jonathan A.
Format: Electronic eBook
Language:English
Published: San Francisco : No Starch Press, 2005.
Edition:1st ed.
Subjects:
Spam filtering (Electronic mail)
Filters (Mathematics)
Online Access: Full text (Wentworth users only)
Local Note:ProQuest Ebook Central
Description
Summary: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.
Item Description:Includes index.
Physical Description:1 online resource (xx, 287 pages)
Format:Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.
ISBN:9781593270858
1593270852
Language:English.
Reproduction Note:Electronic reproduction.
Source of Description, Etc. Note:Print version record.
Action Note:digitized

Similar Items