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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.
Highly Cited
2018
Highly Cited
2018
Accurate Location Tracking From CSI-Based Passive Device-Free Probabilistic Fingerprinting
The research on indoor localization has received great interest in recent years. This has been fueled by the ubiquitous… 
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… 
Highly Cited
2015
Highly Cited
2015
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… 
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… 
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… 
Highly Cited
2010
Highly Cited
2010
Generalised Filtering
We describe a Bayesian filtering scheme for nonlinear state-space models in continuous time. This scheme is called Generalised… 
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… 
Highly Cited
2005
Highly Cited
2005
Naive Bayes spam filtering using word-position-based attributes and length-sensitive classification thresholds
  • Johan Hovold
  • International Conference on Email and Anti-Spam
  • 2005
  • Corpus ID: 12459051
This paper explores the use of the naive Bayes classifier as the basis for personalised spam filters. Several machine learning… 
Review
2005
Review
2005
A Tutorial on Bayesian Estimation and Tracking Techniques Applicable to Nonlinear and Non-Gaussian Processes
Nonlinear filtering is the process of estimating and tracking the state of a nonlinear stochastic system from non-Gaussian noisy… 
Highly Cited
2004
Highly Cited
2004
Adaptive anti-spam filtering for agglutinative languages: a special case for Turkish
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