An Empirical Insight Into Concept Drift Detectors Ensemble Strategies.
Andrzej LapinskiBartosz KrawczykPawel KsieniewiczMichal WozniakPublished in: CEC (2018)
Keyphrases
- concept drift
- drifting concepts
- ensemble learning
- ensemble classifier
- concept drifting data streams
- ensemble classification
- data streams
- drift detection
- streaming data
- non stationary
- incremental clustering
- classification algorithm
- data distribution
- change detection
- noisy data streams
- data stream classification
- ensemble methods
- evolving data streams
- batch learning
- classifier ensemble
- data stream mining
- concept drifting
- neural network
- training set
- database systems
- decision trees
- computer vision
- learning algorithm