Learning from streaming data with concept drift and imbalance: an overview.
T. Ryan HoensRobi PolikarNitesh V. ChawlaPublished in: Prog. Artif. Intell. (2012)
Keyphrases
- concept drift
- streaming data
- drifting concepts
- data streams
- batch learning
- non stationary
- evolving data streams
- drift detection
- stream data
- class imbalance
- change detection
- learning algorithm
- incremental clustering
- data stream mining
- class distribution
- data distribution
- data sets
- classification algorithm
- incoming data
- incremental learning
- supervised learning
- concept drifting
- learning tasks
- sliding window
- anomaly detection
- image registration
- prior knowledge
- support vector
- mining data streams
- face recognition