NB+: An improved Naïve Bayesian algorithm
作者:
Highlights:
•
摘要
A novel algorithm named NB+ which is an extended version of the traditional Naïve Bayesian algorithm has been presented in this paper. An exception occurs when there is an equal probability for the class label value in the Naïve 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 Naïve Bayesian algorithm.
论文关键词:Data mining,Classification,Naïve Bayesian algorithm,Conflicting data,Lazy learning
论文评审过程:Received 17 June 2008, Revised 26 September 2010, Accepted 26 September 2010, Available online 7 October 2010.
论文官网地址:https://doi.org/10.1016/j.knosys.2010.09.007