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Naive Bayes spam filtering

Known as: Bayesian spam filter, Bayesian spam filtering, Baysian filter 
Naive Bayes classifiers are a popular statistical technique of e-mail filtering. They typically use bag of words features to identify spam e-mail, an… 
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Related topics

Related topics

21 relations
Anti-Spam SMTP ProxyAnti-spam techniquesArithmetic underflowBayesian poisoning

Broader (1)

Estimation theory

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2016
Review
2016
Analyzing the Effectiveness of N-gram Technique Based Feature Set in a Naive Bayesian Spam Filter
The advent of Social Medias, Email services and other internet facilities are found helpful for a wide range of users. But some… 
2015
2015
Research and Improvement of a Spam Filter Based on Naive Bayes
The spam filter based on Naive Bayes algorithm, which has good classification accuracy, but the training and learning mail sample… 
Review
2014
Review
2014
Multilingual e-mail classification using Bayesian filtering and language translation
E-mail SPAM is continuously growing threat to its users, E-mail Service Providers (ESPs) and Internet Service Providers (ISPs) as… 
2012
2012
A non-invasive blood glucose meter design using multi-type sensors
In this paper, we present a design of a multi optical modalities blood glucose monitor. The Monte Carlo tissues optics simulation… 
2011
2011
Filtering harmful sentences based on three-word co-occurrence
Many bulletin board systems and social network services have become popular collaboration tools in recent years. In such systems… 
Review
2011
Review
2011
Statistical Approaches to the Inverse Problem
Magnetoencephalography (MEG) can be considered as one of the most powerful instruments for non-invasive investigation of the… 
2009
2009
Not So Naive Online Bayesian Spam Filter
Spam filtering, as a key problem in electronic communica- tion, has drawn significant attention due to increasingly huge amounts… 
Highly Cited
2005
Highly Cited
2005
Understanding How Spammers Steal Your E-Mail Address: An Analysis of the First Six Months of Data from Project Honey Pot
This paper summarizes and analyses data compiled on the activities of email harvesters gathered through a 5,000+ member honey pot… 
Review
2005
Review
2005
IMPROVING NAIVE BAYESIAN SPAM FILTERING
Spam or unsolicited e-mail has become a major problem for companies and private users. This thesis explores the problems… 
2004
2004
Naive Bayes Spam Filtering Using Word Position Attributes
This paper explores the use of the naive Bayes classifier as the basis for personalized spam filters. Various machine learning… 
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