Data Reduction Effects on Classification Accuracy and Training Time.
Reham M. AlamroAbdou S. YoussefPublished in: MLDM (2) (2019)
Keyphrases
- data reduction
- classification accuracy
- training set
- data compression
- data analysis
- feature selection
- instance selection
- classification rules
- knowledge discovery
- preprocessing
- singular value decomposition
- data mining
- support vector
- rough set theory
- high dimensionality
- representative subset
- naive bayes
- supervised learning
- training data
- decision trees
- clustering algorithm
- feature set
- model selection
- nearest neighbor
- pattern recognition
- training examples
- feature space
- data quality
- feature extraction
- databases