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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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Papers overview

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Highly Cited
2016
Highly Cited
2016
Homomorphic encryption (HE) systems enable computations on encrypted data, without decrypting and without knowledge of the secret… Expand
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2012
2012
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
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
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
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 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
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
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
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
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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