Tackling heterogeneous concept drift with the Self-Adjusting Memory (SAM).
Viktor LosingBarbara HammerHeiko WersingPublished in: Knowl. Inf. Syst. (2018)
Keyphrases
- concept drift
- data streams
- streaming data
- incoming data
- drifting concepts
- change detection
- drift detection
- classification algorithm
- data distribution
- target concept
- data stream classification
- evolving data streams
- non stationary
- incremental clustering
- batch learning
- stream data
- concept descriptions
- limited memory
- stream mining
- image analysis
- databases
- data sets
- database systems
- bayesian networks
- database