Online Bagging and Boosting for Imbalanced Data Streams.
Boyu WangJoelle PineauPublished in: IEEE Trans. Knowl. Data Eng. (2016)
Keyphrases
- data streams
- ensemble methods
- ensemble learning
- imbalanced data
- base classifiers
- gradient boosting
- concept drift
- randomized trees
- decision tree ensembles
- majority voting
- random forests
- ensemble classification
- machine learning
- imbalanced datasets
- binary classification problems
- weak classifiers
- online learning
- meta learning
- sliding window
- ensemble classifier
- stream data
- variance reduction
- data sets
- streaming data
- prediction accuracy
- decision trees
- feature selection
- learning algorithm
- base learners
- weak learners
- multi class
- training set