A Preliminary Study of the Feasibility of Global Evolutionary Feature Selection for Big Datasets under Apache Spark.
Mikel GalarIsaac TrigueroHumberto BustinceFrancisco HerreraPublished in: CEC (2018)
Keyphrases
- feature selection
- open source
- feature selection algorithms
- benchmark datasets
- evolutionary computation
- support vector
- feature space
- classification accuracy
- feature set
- mutual information
- microarray datasets
- information gain
- text categorization
- uci machine learning repository
- linux kernel
- genetic algorithm
- data mining
- mailing lists
- linear svm
- stability of feature selection
- feature ranking
- synthetic datasets
- text classification
- feature extraction
- face recognition
- machine learning