國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁 到查詢結果 [ subject:"Electronic mail systems" ]

切換: 標籤 | MARC模式 | ISBD

Ending spam :Bayesian content filter...

Zdziarski, Jonathan A.

Ending spam :Bayesian content filtering and the art of statistical language classification /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Ending spam :by Jonathan A. Zdziarski.
其他題名:	Bayesian content filtering and the art of statistical language classification /
作者:	Zdziarski, Jonathan A.
出版者:	San Francisco :No Starch Press,c2005.
面頁冊數:	xx, 287 p. :ill. ;24 cm.
附註:	Includes index.
標題:	Electronic mail systemsSecurity measures.
ISBN:	1593270526 :

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

Ending spam :Bayesian content filtering and the art of statistical language classification /by Jonathan A. Zdziarski. - San Francisco :No Starch Press,c2005. - xx, 287 p. :ill. ;24 cm.

Includes index.

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.

ISBN: 1593270526 :NT$1200

LCCN: 2005008221Subjects--Topical Terms:

256973
Electronic mail systems
--Security measures.

LC Class. No.: TK5105.743 / .Z35 2005

Dewey Class. No.: 005.7/13

Ending spam :Bayesian content filtering and the art of statistical language classification /
LDR:01095cam a22001934a 450 001 176567
005 20070508135129.0
008 090528s2005 caua 001 0 eng
010 $a 2005008221
020 $a 1593270526 : $c NT$1200
035 $a 00283022
040 $a DLC $c DLC $d DLC
042 $a pcc
050 0 0 $a TK5105.743 $b .Z35 2005
082 0 0 $2 22 $a 005.7/13
100 $a Zdziarski, Jonathan A. $3 256972
245 1 0 $a Ending spam : $b Bayesian content filtering and the art of statistical language classification / $c by Jonathan A. Zdziarski.
260 $a San Francisco : $c c2005. $b No Starch Press,
300 $a xx, 287 p. : $b ill. ; $c 24 cm.
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 $a Electronic mail systems $x Security measures. $3 256973
650 $a Filters (Mathematics) $3 185110
650 $a Spam (Electronic mail) $x Prevention. $3 256974
650 $a Spam filtering (Electronic mail) $3 256975
650 $a Spam filtering (Electronic mail) $x Computer programs. $3 256976