SMOTE-OB: Combining SMOTE and Online Bagging for Continuous Rebalancing of Evolving Data Streams.
Alessio BernardoEmanuele Della VallePublished in: IEEE BigData (2021)
Keyphrases
- imbalanced data
- evolving data streams
- class distribution
- stream clustering
- random forests
- concept drift
- random forest
- class imbalance
- data streams
- ensemble methods
- decision trees
- support vector machine
- streaming data
- bayesian networks
- text classification
- ensemble classifier
- machine learning
- data stream mining
- stream mining
- data mining
- support vector
- real time
- machine learning algorithms
- data sets