Learning from Imbalanced Data Streams Using Rotation-Based Ensemble Classifiers.
Ireneusz CzarnowskiPublished in: ICCCI (2023)
Keyphrases
- learning from imbalanced data
- ensemble classifier
- imbalanced data
- random forest
- concept drift
- data streams
- ensemble learning
- ensemble methods
- decision trees
- support vector machine
- base classifiers
- fusion method
- classification models
- feature selection
- preprocessing step
- linear regression
- feature set
- multi sensor
- class distribution
- weak classifiers
- training set
- machine learning