Time Series Forecasting, Classification, Deep Learning, Recurrent Neural Network, Missing Data.
time-series datasets have been becoming more complicated, they lost their efficiency and practicality in most cases. There are also some other imputation methods to cope with missing data points, such as spectral analysis, kernel methods, EM algorithms, matrix completion, and matrix factorization.