SAITS: Self-attention-based imputation for time series

Missing data in time series is a pervasive problem that puts obstacles in the way of advanced analysis. A popular solution is imputation, where the fundamental challenge is to determine what values should be filled in. This paper proposes SAITS, a novel method based on the self-attention mechanism f...

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Bibliographic Details
Published inExpert systems with applications Vol. 219; p. 119619
Main Authors Du, Wenjie, Côté, David, Liu, Yan
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.06.2023
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