Incremental Learning of Concept Drift from Streaming Imbalanced Data.
Gregory DitzlerRobi PolikarPublished in: IEEE Trans. Knowl. Data Eng. (2013)
Keyphrases
- incremental learning
- concept drift
- imbalanced data
- streaming data
- data streams
- class distribution
- ensemble classifier
- class imbalance
- ensemble learning
- batch learning
- data stream classification
- non stationary
- data distribution
- change detection
- sliding window
- classification algorithm
- sampling methods
- linear regression
- semi supervised
- supervised learning
- random forest
- learning process
- multi dimensional
- small number
- support vector machine
- neural network
- prediction accuracy
- data sets
- decision trees
- machine learning