| AKE | Applying k-Nearest Neighbor Estimation |
| BRITS | Bidirectional Recurrent Imputation for Time Series |
| CNidT | Curieuze-Neuzen in de Tuin |
| CV | Cross-Validation |
| DAE | Denoising Autoencoder |
| DESM | Data Estimation using Statistical Models |
| FAMD | Factor Analysis of Mixed Data |
| IoT | Internet of Things |
| KNN | k Nearest Neighbors |
| M-RNN | Multi-directional Recurrent Neural Network |
| MAE | Mean Absolute Error |
| MCMC | Markov Chain Monte Carlo |
| MC | Matrix Completion |
| MCAR | Missing Completely at Random |
| MAR | Missing at Random |
| MICE | Multiple Imputation using Chained Equations |
| MIDA | Multiple Imputation using Denoising Autoencoders |
| MI | Multiple Imputation |
| MNAR | Missing not at Random |
| ML | Machine Learning |
| NB-IoT | Narrowband Internet of Things |
| PC | Principal Components |
| PCE | Prediction Coverage Error |
| RNN | Recurrent Neural Network |
| RF | Random Forest |
| RMSE | Root-mean-square Error |
| WSN | Wireless Sensor Network |