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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
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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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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… Expand
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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… 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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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… 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
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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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… Expand
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