If you collect any kind of real-time data, you're probably interested getting alerted when this data goes out of whack, but setting static thresholds has the downside of having a lot of false positives. Using Anomaly Detection can help determine normal patterns and alert you when those go out of whack.
In this talk we'll look at some of the methods of detecting anomalies in your data.
https://confoo.ca/en/2025/session/the-statistics-of-anomaly-detection
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