A data imputation method for multivariate time series based on generative adversarial network

Zijian Guo; Yiming Wan; Hao Ye

doi:10.1016/j.neucom.2019.06.007

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JOURNAL ARTICLE

A data imputation method for multivariate time series based on generative adversarial network

Zijian Guo Yiming Wan Hao Ye

Year: 2019 Journal: Neurocomputing Vol: 360 Pages: 185-197 Publisher: Elsevier BV

DOI: 10.1016/j.neucom.2019.06.007

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Keywords:

Imputation (statistics) Missing data Computer science Multivariate statistics Data mining Generative grammar Artificial intelligence Time series Multivariate normal distribution Machine learning Pattern recognition (psychology)

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8.54

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0.98

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Topics

Time Series Analysis and Forecasting

Physical Sciences → Computer Science → Signal Processing

Generative Adversarial Networks and Image Synthesis

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

A data imputation method for multivariate time series based on generative adversarial network

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Citation History

Topics

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