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The Resource Ending spam : Bayesian content filtering and the art of statistical language classification, Jonathan A. Zdziarski, (electronic resource)

Ending spam : Bayesian content filtering and the art of statistical language classification, Jonathan A. Zdziarski, (electronic resource)

Label
Ending spam : Bayesian content filtering and the art of statistical language classification
Title
Ending spam
Title remainder
Bayesian content filtering and the art of statistical language classification
Statement of responsibility
Jonathan A. Zdziarski
Creator
Contributor
Subject
Language
eng
Additional physical form
Available also in a print ed.
Cataloging source
CtWfDGI
Illustrations
illustrations
Index
index present
Literary form
non fiction
Nature of contents
dictionaries
Ending spam : Bayesian content filtering and the art of statistical language classification, Jonathan A. Zdziarski, (electronic resource)
Label
Ending spam : Bayesian content filtering and the art of statistical language classification, Jonathan A. Zdziarski, (electronic resource)
Publication
Note
  • Includes index
  • Title from title screen
Related Contributor
Related Location
Related Agents
Related Authorities
Related Subjects
Color
other
Computer file characteristics
Computer document.
Contents
An introduction to spam filtering concepts -- The history of spam -- Historical approaches to fighting spam -- Next generation filtering -- Shining examples of filtering -- Machine learning concepts -- Fundamentals of statistical filtering -- Statistical filtering fundamentals -- Decoding: uncombobulating messages -- Tokenization: the building blocks of spam -- Open source, OSX, and Milk Duds -- The low-down dirty details of spam -- Data storage for a zillion records -- Scaling for large-scale environments -- Advanced concepts of statistical filtering -- Concept identification: advanced tokenization -- Testing theory -- Fifth-order Markovian discrimination -- Concept identification: advanced tokenization -- Intelligent feature set reduction -- Collaborative algorithms -- Installing and using open source filters
Dimensions
unknown
http://library.link/vocab/discovery_link
{'f': 'http://opac.lib.rpi.edu/record=b4350608'}
Edition
1st ed.
Form of item
  • online
  • electronic
Issuing body
Digitized and made available by: Books24x7.com.
Specific material designation
remote
System details
Mode of access: Internet via World Wide Web
Type of computer file
Text.

Library Locations

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      42.729766 -73.682577
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