Anomaly Detection techniques have been widely used in data science and now with the rapid increase in temporal data, there has been a huge surge of researchers who are developing new algorithms dealing with outliers across this domain. The time series anomaly detection concentrates to isolate anomalous subsequences of varied lengths. Various statistical methods, supervised…

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