Deterministic Sampling Classifier with weighted Bagging for drifted imbalanced data stream classification.
Jakub KlikowskiMichal WozniakPublished in: Appl. Soft Comput. (2022)
Keyphrases
- imbalanced data
- data stream classification
- concept drift
- ensemble classifier
- minority class
- ensemble learning
- class imbalance
- class distribution
- support vector machine
- feature selection
- decision trees
- sampling methods
- data streams
- classifier ensemble
- training set
- imbalanced datasets
- classification algorithm
- nearest neighbour
- ensemble methods
- individual classifiers
- decision boundary
- cost sensitive learning
- streaming data
- random forest
- binary classification problems
- training data
- majority voting
- imbalanced class distribution
- weak classifiers
- non stationary
- data distribution
- classification error
- decision tree classifiers
- data stream mining
- missing values
- change detection
- incremental learning
- base learners
- stream data
- low dimensional
- multi class
- learning process
- base classifiers
- feature space
- feature extraction