A discrete particle swarm optimization method for feature selection in binary classification problems.
Alper ÜnlerAlper Ekrem MuratPublished in: Eur. J. Oper. Res. (2010)
Keyphrases
- method for feature selection
- binary classification problems
- discrete particle swarm optimization
- feature selection
- web service composition
- traveling salesman problem
- multi class
- particle swarm optimization
- swarm intelligence
- binary classification
- class imbalance
- support vector machine
- multi task
- solution quality
- vehicle routing problem
- decision trees
- particle swarm optimization algorithm
- service selection
- service composition
- optimization methods
- support vector
- majority voting
- multiclass classification
- knn
- multi class classification
- machine learning
- feature subset
- classification accuracy
- ant colony optimization
- image classification
- multi objective
- cost sensitive
- class distribution
- service oriented
- combinatorial optimization
- computational efficiency
- petri net
- binary classifiers
- pairwise
- search algorithm