
Introduction The detection of anomalies from a given time-series is usually not an easy task. The natural association with time brings many unique features to time-series that regular 1D datasets, like time-dependency(via lagging), trend, seasonality, holiday effects, etc. Because of this, traditional statististical tests or clustering-based methods for anomaly/outlier usually will fail for time-series data, […]