A grid density based framework for classifying streaming data in the presence of concept drift.
Tegjyot Singh SethiMehmed M. KantardzicHanqing HuPublished in: J. Intell. Inf. Syst. (2016)
Keyphrases
- concept drift
- streaming data
- data streams
- noisy data streams
- non stationary
- data stream mining
- change detection
- mining data streams
- ensemble classifier
- evolving data streams
- incremental clustering
- classification algorithm
- data distribution
- drift detection
- stream mining
- stream data
- anomaly detection
- sliding window
- concept drifting data streams
- support vector
- support vector machine
- image processing