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Adaptive Intrusion Detection based on Boosting and Naïve Bayesian Classifier
(International Journal of Computer Applications, 2011-06-01)
In this paper, we introduce a new learning algorithm for adaptive intrusion detection using boosting and naïve Bayesian classifier, which considers a series of classifiers and combines the votes of each individual classifier ...
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 ...