A Probabilistic Sample Matchmaking Strategy for Imbalanced Data Streams with Concept Drift.
Jesus L. LoboJavier Del SerMiren Nekane BilbaoIbai LanaSancho Salcedo-SanzPublished in: IDC (2016)
Keyphrases
- concept drift
- data streams
- class imbalance
- class distribution
- streaming data
- drifting concepts
- evolving data streams
- data stream classification
- drift detection
- data distribution
- stream data
- mining data streams
- non stationary
- sliding window
- ensemble learning
- ensemble classifier
- change detection
- data stream mining
- classification algorithm
- data sets
- bayesian networks
- batch learning
- concept drifting data streams
- high speed data streams
- limited memory
- knowledge sharing
- data mining