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NB+: An improved Naïve Bayesian algorithm

Authors :
Balamurugan, Appavu alias
Rajaram, Ramasamy
Pramala, S.
Rajalakshmi, S.
Jeyendran, C.
Dinesh Surya Prakash, J.
Source :
Knowledge-Based Systems. Jul2011, Vol. 24 Issue 5, p563-569. 7p.
Publication Year :
2011

Abstract

Abstract: 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. [Copyright &y& Elsevier]

Details

Language :
English
ISSN :
09507051
Volume :
24
Issue :
5
Database :
Academic Search Index
Journal :
Knowledge-Based Systems
Publication Type :
Academic Journal
Accession number :
60081991
Full Text :
https://doi.org/10.1016/j.knosys.2010.09.007