Handling imbalanced data with concept drift by applying dynamic sampling and ensemble classification model.
S. AncyD. PaulrajPublished in: Comput. Commun. (2020)
Keyphrases
- imbalanced data
- concept drift
- ensemble classifier
- class distribution
- class imbalance
- ensemble learning
- data streams
- sampling methods
- non stationary
- ensemble methods
- linear regression
- minority class
- change detection
- data distribution
- classification algorithm
- support vector machine
- classifier ensemble
- prediction accuracy
- base classifiers
- multi class
- data points
- data sets
- benchmark datasets
- classification models
- training set
- bayesian networks
- feature extraction
- decision trees
- image processing