Randomizing the Self-Adjusting Memory for Enhanced Handling of Concept Drift.
Viktor LosingBarbara HammerHeiko WersingAlbert BifetPublished in: IJCNN (2020)
Keyphrases
- concept drift
- mining data streams
- data streams
- streaming data
- drifting concepts
- incoming data
- non stationary
- change detection
- drift detection
- classification algorithm
- data distribution
- data stream mining
- data stream classification
- incremental clustering
- batch learning
- target concept
- limited memory
- concept descriptions
- stream data
- data sets
- stream mining
- sliding window
- data mining