Cost-sensitive learning for imbalanced data streams.
Lucas LoezerFabrício EnembreckJean Paul BarddalAlceu de Souza Britto Jr.Published in: SAC (2020)
Keyphrases
- cost sensitive learning
- data streams
- class imbalance
- imbalanced datasets
- concept drift
- class distribution
- minority class
- cost sensitive
- misclassification costs
- streaming data
- multi class problems
- probability estimation
- data distribution
- change detection
- missing values
- data sets
- binary classification
- active learning
- uncertain data
- training set
- data analysis
- sampling methods
- non stationary
- training samples
- text categorization
- rule extraction
- decision trees
- feature selection
- data mining