Anytime clustering of data streams while handling noise and concept drift.
Jagat Sesh ChallaPoonam GoyalAjinkya KokandakarDhananjay MantriPranet VermaSundar BalasubramaniamNavneet GoyalPublished in: J. Exp. Theor. Artif. Intell. (2022)
Keyphrases
- concept drift
- data streams
- incremental clustering
- stream clustering
- mining data streams
- streaming data
- evolving data streams
- drift detection
- concept drifting
- noisy data streams
- data stream classification
- anytime classification
- stream data
- data stream mining
- data distribution
- change detection
- clustering algorithm
- non stationary
- anytime algorithms
- drifting concepts
- outlier detection
- target concept
- k means
- sliding window
- stream mining
- ensemble classifier
- classification algorithm
- unsupervised learning
- missing data
- concept drifting data streams
- data sets
- clustering method
- hierarchical clustering
- data clustering
- data points
- high speed data streams
- batch learning
- nearest neighbor
- continuous queries
- noisy data
- high dimensional data
- database