Imbalanced data classification algorithm based on boosting and cascade model.
Xiaolong ZhangChao ChengPublished in: SMC (2012)
Keyphrases
- classification algorithm
- imbalanced data
- base learners
- ensemble methods
- base classifiers
- support vector machine
- ensemble learning
- ensemble classifier
- class labels
- naive bayes
- concept drift
- feature selection
- training set
- k nearest neighbor
- knn
- minority class
- learning algorithm
- decision trees
- class distribution
- classification rules
- random forest
- cost sensitive
- machine learning methods
- prediction accuracy
- benchmark datasets
- image processing
- machine learning
- class imbalance
- meta learning
- sampling methods
- generalization ability
- active learning
- data mining
- support vector
- probability estimation
- data streams
- random forests
- information extraction
- nearest neighbor
- supervised learning
- text classification
- linear regression