Constructing support vector machine ensemble with segmentation for imbalanced datasets.
Qian LiBing YangYi LiNai-Yang DengLing JingPublished in: Neural Comput. Appl. (2013)
Keyphrases
- imbalanced datasets
- support vector machine
- imbalanced data
- ensemble methods
- learning from imbalanced data
- class distribution
- feature selection
- training data
- ensemble learning
- multi class
- generalization ability
- random forest
- training set
- cost sensitive learning
- class imbalance
- ensemble classifier
- svm classifier
- support vector machine svm
- sampling methods
- prediction accuracy
- support vector
- k nearest neighbor
- minority class
- decision trees
- random forests
- feature selection algorithms
- binary classification
- cost sensitive
- base classifiers
- neural network
- feature vectors
- learning algorithm
- training dataset
- decision boundary
- test data
- benchmark datasets
- text categorization
- nearest neighbor
- machine learning