A systematic review of machine learning-based missing value imputation techniques.
Tressy ThomasEnayat RajabiPublished in: Data Technol. Appl. (2021)
Keyphrases
- missing values
- systematic review
- machine learning
- data imputation
- missing data
- empirical studies
- incomplete data
- incomplete data sets
- missing data imputation
- high dimensional data
- decision trees
- support vector machine
- data mining
- knowledge acquisition
- missing information
- feature values
- learning algorithm
- data matrix
- machine learning methods
- active learning
- pattern recognition
- data sets
- neural network
- noisy data
- machine learning algorithms
- text classification
- text mining
- computer vision
- computer science
- imputation methods
- natural language processing
- information extraction