Several SVM Ensemble Methods Integrated with Under-Sampling for Imbalanced Data Learning.
Zhiyong LinZhifeng HaoXiaowei YangXiaolan LiuPublished in: ADMA (2009)
Keyphrases
- imbalanced data
- ensemble methods
- base classifiers
- learning algorithm
- base learners
- feature selection
- prediction accuracy
- benchmark datasets
- machine learning methods
- random forests
- ensemble learning
- linear regression
- decision trees
- data sets
- generalization ability
- classification models
- support vector machine svm
- support vector machine
- multi class
- class distribution
- learning scheme
- active learning
- training set
- k nearest neighbor
- supervised learning
- knn
- binary classification
- meta learning
- learning machines
- high dimensional