Attention-Based Sequence-to-Sequence Model for Time Series Imputation

Time series data are usually characterized by having missing values, high dimensionality, and large data volume. To solve the problem of high-dimensional time series with missing values, this paper proposes an attention-based sequence-to-sequence model to imputation missing values in time series (AS...

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Detalles Bibliográficos
Autores principales: Li, Yurui, Du, Mingjing, He, Sheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9778091/
https://www.ncbi.nlm.nih.gov/pubmed/36554203
http://dx.doi.org/10.3390/e24121798

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9778091/
https://www.ncbi.nlm.nih.gov/pubmed/36554203
http://dx.doi.org/10.3390/e24121798

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