this post was submitted on 12 Dec 2025
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As someone who has done various kinds of anomaly detections, it always seems promising until it hits real world data and real world use cases.
There are some widely recognised papers in this field, just about this issue.
Once an anomaly is defined, I usually find it easier to build a regular alert for it. I guess the ML or LLM would be most useful to me in finding problems that I wasn't looking for.