EHSBoost: Enhancing ensembles for imbalanced data-sets by evolutionary hybrid-sampling.
Chunkai ZhangJianwei GuoChangqing QiZoe Lin JiangQing LiaoLin YaoXuan WangPublished in: SPAC (2017)
Keyphrases
- imbalanced data
- imbalanced data sets
- minority class
- sampling methods
- class distribution
- imbalanced class distribution
- ensemble methods
- linear regression
- class imbalance
- support vector machine
- random sampling
- decision trees
- ensemble learning
- random forest
- classification models
- monte carlo
- svm classifier
- feature selection
- sampling algorithm
- active learning
- data sets
- concept learning
- base classifiers
- text classification
- training set
- rare events
- data generation
- training data