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A new classifier ensemble learning algorithm based on decision tree is proposed. Ensemble learning algorithm is one of the algorithms which have best classification results in many classification algorithms. A decision tree algorithm is a kind of greedy algorithm, it use top-down recursive way to determine the tree structure. The proposed algorithm improved the accuracy of classification by combining...
In this paper, we try to bring the concept of Ensemble into Outlier Detection. Two Outlier mining algorithms are ensembled: one based on similar coefficient sum and the other based on kernel density. An anomaly detection approach based on voting mechanism is proposed and applied into intrusion detection. We convert the character feature into numerical value by code mapping and use principal Components...
An efficient method for power quality disturbances (PQD) classification is put forward which combines with cubic B-spline wavelet and C4.5 algorithm in decision tree. At first the mathematic models are established. Then multi-scale decomposition for PQD is carried out using cubic B-spline wavelet. A three dimensional eigenvector is built by selecting the mean, standard deviation and energy entropy...
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