An anomaly detection method for time-series uncertain data streams
Xuesong Xu · Electronic Design Engineering · 2011
An anomaly detection method for uncertain data streams that combines wavelet analysis and uncertainty clustering is proposed.Taking the uncertainty anomaly detection into account,the minimum computation for reducing the computational cost of detection are estimated at the same time.Experimental results on actual data source show that this method can adapt to the uncertain of data streams well and provide precise instantaneous detection under certain conditions.