Addressing Overlapping in Classification with Imbalanced Datasets: A First Multi-objective Approach for Feature and Instance Selection.
Alberto FernándezMaría José del JesusFrancisco HerreraPublished in: IDEAL (2015)
Keyphrases
- imbalanced datasets
- multi objective
- feature and instance selection
- cost sensitive learning
- class imbalance
- instance selection
- classification accuracy
- decision trees
- class distribution
- machine learning
- decision rules
- feature space
- cost sensitive
- data sets
- feature selection
- imbalanced data
- feature extraction
- feature vectors
- classification models
- support vector machine
- machine learning methods
- image classification
- feature set
- high dimensionality
- ensemble methods
- classification algorithm
- evolutionary algorithm
- unsupervised learning
- support vector
- model selection
- supervised learning