Clustering in the Presence of Concept Drift.
Richard Hugh MoultonHerna L. ViktorNathalie JapkowiczJoão GamaPublished in: ECML/PKDD (1) (2018)
Keyphrases
- concept drift
- incremental clustering
- data streams
- streaming data
- non stationary
- clustering algorithm
- drifting concepts
- drift detection
- clustering method
- evolving data streams
- stream clustering
- classification algorithm
- k means
- change detection
- ensemble classifier
- data stream mining
- batch learning
- hierarchical clustering
- data distribution
- data stream classification
- concept descriptions
- machine learning
- cluster analysis
- data clustering
- outlier detection
- sliding window
- unsupervised learning