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NB+: An improved Naive Bayesian algorithm
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DOI：10.1016/j.knosys.2010.09.007.png)
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Abstract
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A novel algorithm named NB which is an extended version of the traditional Naive Bayesian algorithm has been presented in this paper. An exception occurs when there is an equal probability for the class label value in the Naive Bayesian algorithm. The approach aims to suggest a solution with the help of a partial matching method. Consequently, the classification accuracy has drastically improved. Experimental evaluation has been done on various databases to show that NB+ algorithm outperforms the traditional Naive Bayesian algorithm. (C) 2010 Elsevier B.V. All rights reserved.
Keywords:
Data mining
Classification
Naive Bayesian algorithm
Conflicting data
Lazy learning
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