internet.com
You are in the: Small Business Computing Channelarrow View Sites +
Small Business Technology
» ECommerce-Guide | Small Business Computing | Webopedia | WinPlanet |  »Close
Webopedia.com
Enter a word for a definition... ...or choose a computer category.
 
 

menu
   Home
   Term of the Day
   New Terms
   Pronunciation
   New Links
   Quick Reference
   Did You Know?
   Categories
   Tech Support
   Webopedia Jobs
   About Us
   Link to Us
   Advertising
  

talk to us
   Submit a URL
   Suggest a Term
   Report an Error

internet.com
Developer
Downloads
International
Internet Lists
Internet News
Internet Resources
IT
Linux/Open Source
Personal Technology
Small Business
Windows Technology
xSP Resources
Search internet.com
Advertise
Corporate Info
Newsletters
Tech Jobs
E-mail Offers
commerce
  Be a Commerce Partner
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Bayesian filter
Last modified: Friday, July 30, 2004 

(bā´ zē-en fil´tër) (n.) A technique for identifying incoming e-mail spam. Unlike other filtering techniques that look for spam-identifying words in subject lines and headers, a Bayesian filter uses the entire context of an e-mail when it looks for words or character strings that will identify the e-mail as spam. Another difference between a Bayesian filter and other content filters is that a Bayesian filter learns to identify new spam the more it analyzes incoming e-mails.

Bayesian filtering is named for English mathematician Thomas Bayes, who developed a theory of probability inference. Bayesian filtering is predicated on the idea that spam can be filtered out based on the probability that certain words will correctly identify a piece of e-mail as spam while other words will correctly identify a piece of e-mail as legitimate and wanted. At its most basic level, a Bayesian filter examines a set of e-mails that are known to be spam and a set of e-mails that are known to be legitimate and compares the content in both e-mails in order to build a database of words that will, according to probability, identify, or predict, future e-mails as spam or not. Bayesian filters examine the words in a body of an e-mail, its header information and metadata, word pairs and phrases and even HTML code that can identify, for example, certain colors that can indicate a spam e-mail.

Bayesian filters are adaptable in that the filter can train itself to identify new patterns of spam and can be adapted by the human user to adjust to the user’s specific parameters for identifying spam. Bayesian filters also are advantageous because they take the whole context of a message into consideration. For example, not every e-mail with the word “cash” in it is spam, so the filter identifies the probability of an e-mail with the word “cash” being spam based on what other content is in the e-mail.

Proponents of Bayesian filters assert that the filters return less than one percent of false positives.

Other forms: Bayesian filtering (v.)

E-mail this definition to a colleague

Sponsored listings

Symantec: Virus Security and Removal - Stop Zotob Virus now.B Visit Symantec for updated information and resources.

Secure Instant Messaging - IM security threats up 250%. Secure, control and manage IM. Free IM security white paper and a risk-free IM Manager trial.

KnowledgeStorm: Bayesian Filter - Business technology search site offering software, service, reseller and hardware information on thousands of IT solutions.


For internet.com pages about Bayesian filter . Also check out the following links!

Related Links

Why Bayesian Filtering Is the Most Effective Anti-Spam Technology 
This white paper from GFI describes how Bayesian mathematics can be applied to the spam problem, resulting in an adaptive, ‘statistical intelligence’ technique that is much harder to circumvent by spammers.

A Plan for Spam
This article describes the spam-filtering techniques using Bayesian filtering.

related categories

Business Computing

Electronic Mail

Software

related terms

anti-spam

bozo filter

e-mail

false positive

opt-in e-mail

spam


webopedia
Give Us Your
Feedback


Shop for: Books - Ending Spam: Bayesian Content Filtering and the Art of Statistical Language Classification Products
by Jonathan A. Zdziarski ( August 30, 2005 )

Compare all matches:
7 Store Offers

Top Store Offers
Amazon - 26.37
eCampus.com - 27.97
ValoreBooks - 22.68
Books-A-Million - 25.17
OverStock - 25.92
more stores...



JupiterWeb networks:

internet.comearthweb.comDevx.com graphics.com

Search JupiterWeb:

Jupitermedia Corporation has three divisions:
Jupiterimages, JupiterWeb and JupiterResearch


Legal Notices, Licensing, Reprints, & Permissions, Privacy Policy.

Jupitermedia Corporate Info | Newsletters | Tech Jobs | Shopping | E-mail Offers