A dynamic hierarchical incremental learning-based supervised clustering for data stream with considering concept drift.
Soheila NikpourShahrokh AsadiPublished in: J. Ambient Intell. Humaniz. Comput. (2022)
Keyphrases
- information extraction
- incremental learning
- concept drift
- supervised clustering
- data streams
- streaming data
- data stream classification
- data stream mining
- drift detection
- drifting concepts
- sliding window
- change detection
- data distribution
- non stationary
- clustering algorithm
- batch learning
- stream data
- learning process
- evolving data streams
- supervised learning
- high speed data streams
- semi supervised
- classification algorithm
- continuous queries
- stream clustering
- instance based learning
- k nearest neighbor
- stream mining
- incoming data
- label ranking
- data sets