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

Format:

Book

Author/Creator:

Zdziarski, Jonathan A.

Language:

English

Subjects (All):

Spam filtering (Electronic mail).

Filters (Mathematics).

Physical Description:

1 online resource (314 p.)

Edition:

1st ed.

Place of Publication:

San Francisco : No Starch Press, 2005.

Language Note:

English

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.

Contents:

Preliminaries; Acknowledgments; Brief Contents; Contents In Detail; Introduction; The History Of Spam; Historical Approaches To Fighting Spam; Language Classification Concepts; Statistical Filtering Fundamentals; Decoding: Uncombobulating Messages; Tokenization: The Building Blocks Of Spam; The Low-down Dirty Tricks Of Spammers; Data Storage For A Zillion Records; Scaling In Large Environments; Testing Theory; Concept Identification: Advanced Tokenization; Fifth-order Markovian Discrimination; Intelligent Feature Set Reduction; Collaborative Algorithms; Shining Examples Of Filtering; Index

Notes:

Includes index.

ISBN:

1-59327-085-2

OCLC:

191037099