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Most anomaly detection methods can not be fit for the changing and complex network. High noise and updating normality profiles not in time will lead to high false alarm rate. In this paper, a new anomaly detection algorithm using improved hierarchy clustering, called ADIHC, is proposed in this paper. It applies an improved hierarchy clustering tree to organize clusters which are obtained by density-based...
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