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Anomaly detection refers to the problem of finding patterns in data that do not conform to expected behavior. This is also known as outlier detection.

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Time series anomaly detection

An approach I can recommend is to use Tukeys methods from his EDA book. Use his smooth algorithms to split the time series into a smooth and a rough. The smooth acts acts as a reference level and the …
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