Ensemble Approach for the Classification of Imbalanced Data.
Vladimir NikulinGeoffrey J. McLachlanShu-Kay NgPublished in: Australasian Conference on Artificial Intelligence (2009)
Keyphrases
- imbalanced data
- imbalanced data sets
- classification accuracy
- decision trees
- feature selection
- class imbalance
- ensemble classifier
- classification models
- feature extraction
- imbalanced datasets
- pattern classification
- pattern recognition
- support vector
- supervised learning
- image classification
- class distribution
- decision rules
- classification algorithm
- decision boundary
- training samples
- minority class
- svm classifier
- machine learning algorithms
- model selection
- support vector machine
- support vector machine svm
- cost sensitive
- data sets
- nearest neighbor
- knn
- sampling methods
- feature vectors
- training data
- learning algorithm
- machine learning