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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.

1 vote
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50 views

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 …
Georg Heiler's user avatar
0 votes
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29 views

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 …
Georg Heiler's user avatar