Tools

LEADER 02115cam a22004214a 4500

001 ocm58595154;

003 OCoLC;

005 20141211185154.0;

008 050322s2005 caua 001 0 eng ;

010 a| 2005008221;

020 a| 1593270526;

035 a| (Sirsi) o58595154;

035 a| (OCoLC)58595154;

042 a| pcc;

049 a| EREE;

050 00 a| TK5105.743b| .Z35 2005;

082 00 a| 005.7/132| 22;

100 1 a| Zdziarski, Jonathan A.=| ^A628319;

245 10 a| Ending spam :b| Bayesian content filtering and the art of statistical language classification /c| by Jonathan A. Zdziarski.;

300 a| xx, 287 pages :b| illustrations ;c| 24 cm;

336 a| text2| rdacontent;

337 a| unmediated2| rdamedia;

338 a| volume2| rdacarrier;

500 a| Includes index.;

505 0 a| 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.;

650 0 a| Spam filtering (Electronic mail)=| ^A628320;

650 0 a| Filters (Mathematics)=| ^A124762;

650 0 a| Spam filtering (Electronic mail)x| Computer programs.=| ^A628320;

650 0 a| Electronic mail systemsx| Security measures.=| ^A476855;

650 0 a| Spam (Electronic mail)x| Prevention.=| ^A570186;

856 41 3| Table of contentsu| http://www.loc.gov/catdir/toc/ecip0510/2005008221.html;

994 a| C0b| ERE;

938 a| Baker & Taylorb| BKTYc| 39.95d| 29.96i| 1593270526n| 0006153599s| active;

596 a| 1;

998 a| 1029278;

999 a| TK5105.743 .Z35 2005w| LCc| 1i| 30372013555690d| 4/2/2013e| 11/10/2010f| 4/2/2013g| 2l| JGESm| JOYNERn| 1p| $25.17r| Ys| Yt| JGESBKu| 4/3/2006x| BOOKz| JSTACKSo| .STAFF. 0;

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

Author/creator	Zdziarski, Jonathan A.
Format	Book
Publication Info	San Francisco : No Starch Press, ©2005.
Description	xx, 287 pages : illustrations ; 24 cm
Supplemental Content	Table of contents
Subjects	Spam filtering (Electronic mail) Filters (Mathematics) Spam filtering (Electronic mail)--Computer programs. Electronic mail systems--Security measures. Spam (Electronic mail)--Prevention.

Contents	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.
General note	Includes index.
LCCN	2005008221
ISBN	1593270526

Availability

Library	Location	Call Number	Status	Item Actions
Joyner	General Stacks	TK5105.743 .Z35 2005	✔ Available	Place Hold

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

Click here for more information about this title

Availability