A Genetic Programming approach for feature selection in highly dimensional skewed data.
Felipe ViegasLeonardo RochaMarcos André GonçalvesFernando MourãoGiovanni SáThiago SallesGuilherme AndradeIsac SandinPublished in: Neurocomputing (2018)
Keyphrases
- genetic programming
- skewed data
- feature selection
- load balancing
- class imbalance
- regression problems
- text classification
- text categorization
- multi dimensional
- evolutionary algorithm
- classification accuracy
- support vector
- high dimensionality
- support vector machine
- feature set
- data sets
- feature space
- feature subset
- genetic algorithm
- decision trees
- neural network
- feature ranking
- feature selection algorithms
- multi task
- feature extraction
- dimensionality reduction