GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing.
Chengqing YuFei WangZezhi ShaoTangwen QianZhao ZhangWei WeiYongjun XuPublished in: KDD (2024)
Keyphrases
- end to end
- multivariate time series
- forecasting model
- short term
- multivariate time series data
- bp neural network
- autoregressive
- support vector regression
- long term
- dimension reduction
- prediction model
- temporal data
- temporal patterns
- machine learning
- data sets
- maximum likelihood
- pattern recognition
- categorical data
- data mining
- neural network