Now showing items 1-6 of 6
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. ...
An Adaptive Ensemble Classifier for Mining Concept-Drifting Data Streams
(Expert Systems with Applications, 2013-11-01)
Traditional data mining techniques cannot be directly applied to the real-time data streaming environment. Existing mining classifiers therefore need to be updated frequently to adopt the changes in data streams. In this ...
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 ...
Attacks classification in adaptive intrusion detection using decision tree
(World Academy of Science, Engineering and Technology, 2010-03-22)
Recently, information security has become a key issue in information technology as the number of computer security breaches are exposed to an increasing number of security threats. A variety of intrusion detection systems ...
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 ...
On the Power of Feature Analyzer for Signature Verification
This paper is concerned with verification of signatures using feature analysis and non linear classifier. Signatures are collected and scanned to obtain input image. Preprocessing involves removal of noise and making the ...