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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… Expand
Wikipedia

Related topics

Related topics

21 relations
Anti-Spam SMTP ProxyAnti-spam techniquesArithmetic underflowBayesian poisoning
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Broader (1)

Estimation theory

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2016
Highly Cited
2016
SHIELD: Scalable Homomorphic Implementation of Encrypted Data-Classifiers
Homomorphic encryption (HE) systems enable computations on encrypted data, without decrypting and without knowledge of the secret… Expand
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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… Expand
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Review
2014
Review
2014
On Cognitive Dynamic Systems: Cognitive Neuroscience and Engineering Learning From Each Other
Cognitive dynamic systems provide a broadly defined platform, whereby engineering learns from cognitive neuroscience, and by the… Expand
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2014
2014
SMS Spam Filtering Application Using Android
In the recent years, we have witnessed a dramatic increment in the volume of spam email. Other related forms of spam are… Expand
2014
2014
Adapting the multi-Bernoulli filter to phased array observations using MUSIC as pseudo-likelihood
In this paper, we consider Bayesian multi-target tracking using phased array of sensors. Although joint Bayesian filtering is… Expand
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Highly Cited
2009
Highly Cited
2009
Visual Place Categorization: Problem, dataset, and algorithm
In this paper we describe the problem of Visual Place Categorization (VPC) for mobile robotics, which involves predicting the… Expand
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Highly Cited
2009
Highly Cited
2009
Visual topological SLAM and global localization
Visual localization and mapping for mobile robots has been achieved with a large variety of methods. Among them, topological… Expand
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2006
2006
Detecting junk mails by implementing statistical theory
Bayesian filter works efficiently by comparing email content (phrases or tokens) against stored database. This paper presents a… Expand
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Highly Cited
2005
Highly Cited
2005
Naive Bayes spam filtering using word-position-based attributes and length-sensitive classification thresholds
This paper explores the use of the naive Bayes classifier as the basis for personalised spam filters. Several machine learning… Expand
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Highly Cited
2004
Highly Cited
2004
Adaptive anti-spam filtering for agglutinative languages: a special case for Turkish
We propose anti-spare filtering methods for agglutinative languages in general and for Turkish in particular. The methods are… Expand
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