Adapting Fuzzy Rough Sets for Classification with Missing Values.
Oliver Urs LenzDaniel PeraltaChris CornelisPublished in: IJCRS (2021)
Keyphrases
- missing values
- multivariate temporal data
- missing data
- data imputation
- incomplete data sets
- fuzzy rough sets
- classification accuracy
- pattern recognition
- decision trees
- classification algorithm
- unseen test data
- missing attribute values
- incomplete data
- artificial neural networks
- machine learning
- unseen data
- imputation methods
- training set
- feature space
- support vector
- neural network
- nearest neighbor
- model selection
- data sets
- feature selection
- high dimensionality
- granular computing
- feature vectors