Predicting Concept Drift in Data Streams Using Metadata Clustering.
Robert AndersonYun Sing KohGillian DobbiePublished in: IJCNN (2018)
Keyphrases
- concept drift
- data streams
- incremental clustering
- metadata
- streaming data
- drifting concepts
- drift detection
- data stream classification
- mining data streams
- change detection
- sliding window
- stream data
- stream clustering
- outlier detection
- non stationary
- evolving data streams
- data stream mining
- k means
- data distribution
- clustering method
- classification algorithm
- clustering algorithm
- batch learning
- ensemble classifier
- databases
- stream mining
- hierarchical clustering
- image registration
- learning algorithm
- neural network
- text classification
- high speed data streams
- concept drifting data streams
- data sets
- noisy data streams