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… (More)
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Papers overview

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2015
2015
The spam filter based on Naive Bayes algorithm, which has good classification accuracy, but the training and learning mail sample… (More)
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2014
2014
In the recent years, we have witnessed a dramatic increment in the volume of spam email. Other related forms of spam are… (More)
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2007
2007
In this paper we focus on the so-called image spam, which consists in embedding the spam message into images attached to e-mails… (More)
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Highly Cited
2006
Highly Cited
2006
In the recent years, we have witnessed a dramatic increment in the volume of spam email. Other related forms of spam are… (More)
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2006
2006
Statistical-based Bayesian filters have become a popular and important defense against spam. However, despite their effectiveness… (More)
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2005
2005
This paper explores the use of the naive Bayes classifier as the basis for personalised spam filters. Several machine learning… (More)
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Review
2005
Review
2005
  • Jon Kågström Mid
  • 2005
Spam or unsolicited e-mail has become a major problem for companies and private users. This thesis explores the problems… (More)
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2005
2005
In this study, the ensemble classifier presented by Caruana, Niculescu-Mizil, Crew & Ksikes (2004) is investigated. Their… (More)
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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… (More)
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