Now showing items 1-2 of 2
Hybrid decision tree and naïve Bayes classifiers for multi-class classification tasks
(Expert Systems with Applications, 2014-03-31)
In this paper, we introduce two independent hybrid mining algorithms to improve the classification accuracy rates of decision tree (DT) and naïve Bayes (NB) classifiers for the classification of multi-class problems. ...
Enhanced Classification Accuracy on Naive Bayes Data Mining Models
(International Journal of Computer Applications, 2011-08-01)
A classification paradigm is a data mining framework containing all the concepts extracted from the training dataset to differentiate one class from other classes existed in data. The primary goal of the classification ...