Can Anomaly Detection Solve Alert Spam?

Anomaly detection is all the buzz these days in the “#monitoringlove” community. The conversation usually goes something like the following: Alerts are spammy and often generate false positives. What you really want to know is when something anomalous is happening. Anomaly detection can replace static thresholds and heuristics. The result will be better accuracy and lower noise. I’m going to give a webinar about the science of statistical anomaly detection on June 17th.

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Thinking clearly about fitting a model to data

I have often seen people fitting curves to sets of data without first understanding whether that is appropriate. I once even used this blog to criticize someone for doing that. I was trying to explain that it’s wrong to fit a model to a set of measurements, unless the model actually describes the process that produced the measurements. All of my explanations (and rants) have fallen far short of the clarity and simplicity of this curve-fitting guide.

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