Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
402980 | Knowledge-Based Systems | 2011 | 7 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Appavu alias Balamurugan, Ramasamy Rajaram, S. Pramala, S. Rajalakshmi, C. Jeyendran, J. Dinesh Surya Prakash,