Handling missing data in near real-time environmental monitoring: A system and a review of selected methods

This publication has 28 references indexed in Scilit:

• A dual-head attention model for time series data imputation
  Computers and Electronics in Agriculture, 2021
• Data-driven missing data imputation in cluster monitoring system based on deep neural network
  Applied Intelligence, 2019
• Model selection to improve multiple imputation for handling high rate missingness in a water quality dataset
  Expert Systems with Applications, 2019
• On the Issue of Incomplete and Missing Water-Quality Data in Mine Site Databases: Comparing Three Imputation Methods
  Mine Water and the Environment, 2014
• Optimizing regression models for data streams with missing values
  Machine Learning, 2014
• A global Water Quality Index and hot-deck imputation of missing data
  Ecological Indicators, 2012
• Data validation and missing data reconstruction using self-organizing map for water treatment
  Neural Computing and Applications, 2011
• Are missing outcome data adequately handled? A review of published randomized controlled trials in major medical journals
  Clinical Trials, 2004
• Evaluation of graphical and multivariate statistical methods for classification of water chemistry data
  Hydrogeology Journal, 2002
• Inference and missing data
  Biometrika, 1976