Two-Stage Cost-Sensitive Learning for Data Streams With Concept Drift and Class Imbalance.
Yange SunYi SunHonghua DaiPublished in: IEEE Access (2020)
Keyphrases
- machine learning
- concept drift
- class imbalance
- cost sensitive learning
- data streams
- streaming data
- class distribution
- sliding window
- sampling methods
- change detection
- pattern recognition
- misclassification costs
- data distribution
- non stationary
- data analysis
- minority class
- ensemble learning
- classification algorithm
- data sets
- data mining
- neural network
- class labels
- labeled data
- data structure