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...
Saved in:
Published in | Expert systems with applications Vol. 219; p. 119619 |
---|---|
Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
01.06.2023
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Be the first to leave a comment!