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Tree Augmented Naive Bayes Classification (TANC) is not very well to deal with continuous data and it ignores partial data in the absence of data attribute value and this can reduce the result accuracy. To resolve this problem, an improved algorithm based on C4.5 is proposed in this paper. The proposed algorithm firstly modifies the available training data according to the predictions of C4.5, then...
Malicious intrusion is the behavior that threats a large number of computers; therefore, recent research has focused on devising new techniques to detect and control internet intrusion with high efficiency and low cost. Unfortunately some anomaly detection system (ADS) over machine learning may get some false alarms if the results of machine learning cannot cover all the normal or abnormal data. In...
Classifier ensemble is now an active area of research in machine learning and pattern recognition. Fuzzy classification is an important application of fuzzy set. In this paper, we propose a fuzzy classifier with kenerl fuzzy C-means clustering (KFCMC) algorithm. Based on such fuzzy classifier, the approaches of constructing fuzzy classifier ensemble system are introduced. These approaches include...
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