An evolutionary sampling approach for classification with imbalanced data.
Everlandio R. Q. FernandesAndré C. P. L. F. de CarvalhoAndré L. V. CoelhoPublished in: IJCNN (2015)
Keyphrases
- imbalanced data
- classification models
- support vector machine
- class imbalance
- majority class
- imbalanced datasets
- class distribution
- sampling methods
- highly skewed
- linear regression
- imbalanced data sets
- decision trees
- minority class
- feature selection
- highly imbalanced
- svm classifier
- ensemble methods
- imbalanced class distribution
- classification accuracy
- ensemble classifier
- high dimensionality
- pattern recognition
- decision boundary
- classification algorithm
- machine learning
- supervised learning
- image classification
- sample size
- pattern classification
- regression problems
- text classification
- model selection
- support vector machine svm
- ensemble learning
- class labels
- training data
- feature extraction