Dynamic Clustering Forest: An ensemble framework to efficiently classify textual data stream with concept drift.
Ge SongYunming YeHaijun ZhangXiaofei XuRaymond Y. K. LauFeng LiuPublished in: Inf. Sci. (2016)
Keyphrases
- image processing
- concept drift
- data streams
- stream clustering
- noisy data streams
- incremental clustering
- ensemble classifier
- drifting concepts
- streaming data
- ensemble learning
- evolving data streams
- non stationary
- change detection
- drift detection
- remote sensing
- data distribution
- outlier detection
- stream data
- data stream mining
- concept drifting data streams
- concept drifting
- neural network
- high resolution
- sliding window
- random forests
- data sets
- hierarchical clustering
- principal component analysis
- limited memory
- similarity measure