Heuristic ensemble for unsupervised detection of multiple types of concept drift in data stream classification.
Hanqing HuMehmed M. KantardzicPublished in: Intell. Decis. Technol. (2021)
Keyphrases
- concept drift
- data stream classification
- multiple types
- drifting concepts
- data streams
- change detection
- streaming data
- classification algorithm
- non stationary
- drift detection
- co occurrence
- data stream mining
- data distribution
- stream data
- incremental learning
- neural network
- real world
- class labels
- classifier ensemble
- database
- database systems
- contextual information
- data sets
- missing values
- semi supervised
- supervised learning
- ensemble methods
- machine learning
- multiple features
- remote sensing
- unsupervised learning
- multi dimensional