Preprocessing noisy imbalanced datasets using SMOTE enhanced with fuzzy rough prototype selection.
Nele VerbiestEnislay RamentolChris CornelisFrancisco HerreraPublished in: Appl. Soft Comput. (2014)
Keyphrases
- imbalanced datasets
- prototype selection
- preprocessing
- selection algorithm
- cost sensitive learning
- class distribution
- class imbalance
- feature selection algorithms
- nearest neighbor classifier
- imbalanced data
- nearest neighbor
- ensemble methods
- decision trees
- feature selection
- training dataset
- feature extraction
- preprocessing step
- sampling methods
- support vector machine
- minority class
- training set
- cost sensitive
- kernel function
- knn
- random sampling
- neural network