Incremental entropy-based clustering on categorical data streams with concept drift.
Yanhong LiDeyu LiSuge WangYanhui ZhaiPublished in: Knowl. Based Syst. (2014)
Keyphrases
- incoming data
- concept drift
- incremental clustering
- data streams
- streaming data
- stream mining
- drifting concepts
- drift detection
- stream data
- batch learning
- data distribution
- categorical data
- data stream mining
- evolving data streams
- non stationary
- change detection
- continuous queries
- sliding window
- classification algorithm
- data stream classification
- mining data streams
- ensemble classifier
- neural network
- incremental learning
- cluster analysis
- unsupervised learning
- data clustering
- data sets