Revisiting Time Series Outlier Detection: Definitions and Benchmarks

A behavior-driven taxonomy for time series outliers is proposed and categorize outliers into point-and pattern-wise outliers with clear context definitions and it is observed that some classical algorithms could outperform many recent deep learning approaches.