Using dynamical systems tools to detect concept drift in data streams.
Fausto Guzzo da CostaRicardo Araújo RiosRodrigo Fernandes de MelloPublished in: Expert Syst. Appl. (2016)
Keyphrases
- concept drift
- dynamical systems
- data streams
- streaming data
- drifting concepts
- sliding window
- drift detection
- change detection
- data stream mining
- data stream classification
- data distribution
- mining data streams
- non stationary
- stream data
- nonlinear dynamical systems
- state space
- evolving data streams
- predictive state representations
- classification algorithm
- semi supervised learning
- continuous queries
- high speed data streams
- data sets
- noisy data streams
- stream mining
- reinforcement learning methods
- limited memory
- supervised learning
- image registration
- clustering algorithm
- machine learning