Cost-sensitive feature selection using two-archive multi-objective artificial bee colony algorithm.
Yong ZhangShi ChengYuhui ShiDun-Wei GongXinchao ZhaoPublished in: Expert Syst. Appl. (2019)
Keyphrases
- cost sensitive
- artificial bee colony algorithm
- multi objective
- artificial bee colony
- feature selection
- multi class
- optimization algorithm
- naive bayes
- multiobjective optimization
- support vector machine
- misclassification costs
- cost sensitive learning
- evolutionary algorithm
- multi objective optimization
- class imbalance
- particle swarm optimization
- cost sensitive classification
- hybrid algorithm
- particle swarm optimization algorithm
- text categorization
- class distribution
- feature set
- objective function
- genetic algorithm
- support vector
- feature space
- active learning
- classification accuracy
- machine learning
- feature extraction
- nsga ii
- text classification
- knn
- multiple objectives
- model selection
- feature subset
- dimensionality reduction
- artificial neural networks
- high dimensionality
- evolutionary computation
- multi label
- genetic algorithm ga
- neural network