A comparative study on sampling techniques for handling class imbalance in streaming data.
Hien M. NguyenEric W. CooperKatsuari KameiPublished in: SCIS&ISIS (2012)
Keyphrases
- class imbalance
- streaming data
- concept drift
- sampling methods
- skewed data
- minority class
- majority class
- data streams
- imbalanced data
- class distribution
- imbalanced class distribution
- non stationary
- class noise
- data distribution
- cost sensitive learning
- active learning
- change detection
- classification algorithm
- sliding window
- ensemble learning
- cost sensitive
- random sampling
- anomaly detection
- unsupervised learning
- pairwise
- feature selection
- neural network