Browsing School of Science and Engineering (SoSE) by Author "Farid, Dewan Md"
Now showing items 1-4 of 4
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An Adaptive Ensemble Classifier for Mining Concept-Drifting Data Streams
Rahman, Chowdhury Mofizur; Farid, Dewan Md; Zhang, Li; Hossain, Alamgir; Strachan, Rebecca; Sexton, Graham; Dahal, Keshav (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
Rahman, Chowdhury Mofizur; Farid, Dewan Md; Rahman, Mohammad Zahidur (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
Rahman, Chowdhury Mofizur; Farid, Dewan Md; Harbi, Nouria; Bahri, Emna; Rahman, Mohammad Zahidur (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 ... -
Hybrid decision tree and naïve Bayes classifiers for multi-class classification tasks
Rahman, Chowdhury Mofizur; Farid, Dewan Md; Hossain, M Alamgir; Strachan, Rebecca (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. ...