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A hybrid deep learning framework for unsupervised anomaly detection in multivariate spatio-temporal data
(MDPI AG, 2020)
Multivariate time-series data with a contextual spatial attribute have extensive use for finding anomalous patterns in a wide variety of application domains such as earth science, hurricane tracking, fraud, and disease ...