Dealing with Randomness and Concept Drift in Large Datasets.
Kassim S. MwitondiRaed A. SaidPublished in: Data (2021)
Keyphrases
- concept drift
- data streams
- streaming data
- non stationary
- drift detection
- drifting concepts
- data stream classification
- incremental clustering
- data distribution
- change detection
- target concept
- evolving data streams
- classification algorithm
- concept descriptions
- data stream mining
- class imbalance
- batch learning
- data structure
- description logics
- multi dimensional
- machine learning methods
- prediction accuracy
- small number
- knn
- k nearest neighbor