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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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matrix profile vs. singular spectrum transformation [closed]
Does anyone have experience with singular spectrum transformation and in particular also a comparison with the matrix profile?
I would want to better understand the practical differences.
So far, I ha …
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timeseries anomaly detection: one model per series or group of series or a single big model ...
Context:
I have thousands of IoT device time series. Multiple metrics are tracked per time period. In order to perform predictive maintenance, I need to detect anomalies.
Problem:
There are multiple c …