Unsupervised Anomaly Detection in Multivariate Spatio-Temporal Datasets Using Deep Learning

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doi:10.1007/978-3-030-39098-3_13

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Unsupervised Anomaly Detection in Multivariate Spatio-Temporal Datasets Using Deep Learning

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Year: 2020 Lecture notes in computer science Pages: 167-182 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-39098-3_13

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Keywords:

Computer science Anomaly detection Multivariate statistics Artificial intelligence Anomaly (physics) Deep learning Unsupervised learning Pattern recognition (psychology) Machine learning Data mining

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Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Network Security and Intrusion Detection

Physical Sciences → Computer Science → Computer Networks and Communications

Time Series Analysis and Forecasting

Physical Sciences → Computer Science → Signal Processing

Unsupervised Anomaly Detection in Multivariate Spatio-Temporal Datasets Using Deep Learning

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Citation History

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