Online anomaly detection with sparse Gaussian processes

M. H. Gu; Jingjing Fei; Shiliang Sun

doi:10.1016/j.neucom.2020.04.077

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JOURNAL ARTICLE

Online anomaly detection with sparse Gaussian processes

M. H. Gu Jingjing Fei Shiliang Sun

Year: 2020 Journal: Neurocomputing Vol: 403 Pages: 383-399 Publisher: Elsevier BV

DOI: 10.1016/j.neucom.2020.04.077

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Keywords:

Anomaly detection Computer science Concept drift Gaussian process Anomaly (physics) Gaussian Series (stratigraphy) Time series Gaussian function Function (biology) Global Positioning System Data mining Artificial intelligence Machine learning Pattern recognition (psychology) Algorithm Data stream mining Physics

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2.06

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0.88

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Is in top 10%

Citation History

Topics

Data Stream Mining Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Time Series Analysis and Forecasting

Physical Sciences → Computer Science → Signal Processing

Online anomaly detection with sparse Gaussian processes

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Citation History

Topics

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