most citedA framework for automated anomaly detection in high frequency water-quality data from in situ sensors

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stat.AP2018★ 1 cited

A framework for automated anomaly detection in high frequency water-quality data from in situ sensors

Catherine Leigh, Omar Alsibai, Rob J. Hyndman +9

River water-quality monitoring is increasingly conducted using automated in situ sensors, enabling timelier identification of unexpected values. However, anomalies caused by techni…