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Naive Bayes classifier

Known as: Bayesian Classifiers, Naive-Bayes, Naïve Bayesian classification 
In machine learning, naive Bayes classifiers are a family of simple probabilistic classifiers based on applying Bayes' theorem with strong (naive… 
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Papers overview

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Highly Cited
2014
Highly Cited
2014
Web is gigantic and being constantly update. Bangla news in web are rapidly grown in the era of information age where each news… 
2013
2013
Probability estimation from a given set of training examples is crucial for learning Naive Bayes (NB) Classifiers. For an… 
2013
2013
Text mining refers to the process of deriving high-quality information from text. High-quality information is typically derived… 
2012
2012
Intrusion detection is the process of monitoring and analyzing the events occurring in a computer system in order to detect signs… 
2010
2010
Text Categorization aims to assign an electronic document to one or more categories based on its contents. Due to the rapid… 
2010
2010
Existing algorithms for positive unlabeled learning (PU learning) only work with certain data. However, data uncertainty is… 
2007
2007
Naive-Bayes classifier is a popular technique of classification in machine learning. Improving the accuracy of naive-Bayes… 
2006
2006
As the wide use of online business transactions, the volume of product information that needs to be managed in a system has… 
Highly Cited
2004
Highly Cited
2004
  • R. Bouckaert
  • 2004
  • Corpus ID: 37154569
There are three main methods for handling continuous variables in naive Bayes classifiers, namely, the normal method (parametric…