Combining integrated sampling with SVM ensembles for learning from imbalanced datasets.
Yang LiuXiaohui YuJimmy Xiangji HuangAijun AnPublished in: Inf. Process. Manag. (2011)
Keyphrases
- imbalanced data
- learning from imbalanced data
- imbalanced datasets
- sampling methods
- support vector
- learning process
- learning algorithm
- support vector machine svm
- learning tasks
- decision trees
- support vector machine
- multi class
- svm classifier
- random forest
- learning machines
- ensemble methods
- learning scheme
- random forests
- generalization ability
- classification models
- classification algorithm
- feature selection