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

Published 2019 View Full Article

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Title
A framework for automated anomaly detection in high frequency water-quality data from in situ sensors
Authors
Keywords
Big data, Forecasting, Near-real time, Quality control and assurance, River, Time series
Journal
SCIENCE OF THE TOTAL ENVIRONMENT
Volume 664, Issue -, Pages 885-898
Publisher
Elsevier BV
Online
2019-02-08
DOI
10.1016/j.scitotenv.2019.02.085

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