Dealing with high-dimensional class-imbalanced datasets: Embedded feature selection for SVM classification.
Sebastián MaldonadoJulio LópezPublished in: Appl. Soft Comput. (2018)
Keyphrases
- imbalanced datasets
- svm classification
- feature selection
- feature selection algorithms
- support vector machine
- high dimensional
- class imbalance
- high dimensionality
- imbalanced data
- multiclass classification
- classification accuracy
- cost sensitive learning
- class distribution
- kernel function
- support vector
- dimensionality reduction
- feature space
- svm classifier
- multi class
- cost sensitive
- minority class
- support vector machine svm
- sampling methods
- training dataset
- text categorization
- low dimensional
- feature set
- decision trees
- data sets
- ensemble methods
- nearest neighbor
- naive bayes
- multi class classification
- classification method
- class labels
- image classification
- training set
- pattern recognition
- training data
- machine learning