Mining Recurring Concept Drifts with Limited Labeled Streaming Data.
Pei-Pei LiXindong WuXuegang HuPublished in: ACML (2010)
Keyphrases
- concept drift
- streaming data
- data stream mining
- stream mining
- mining data streams
- data streams
- data stream classification
- evolving data streams
- concept drifting
- high speed data streams
- non stationary
- drift detection
- classification algorithm
- noisy data streams
- data distribution
- change detection
- incremental clustering
- sliding window
- itemsets
- ensemble classifier
- stream data
- ensemble classification
- sequential patterns
- pattern mining
- data mining
- training data
- incoming data
- frequent patterns
- anomaly detection
- stream processing
- frequent itemsets
- mining frequent itemsets
- text mining
- supervised learning
- database systems
- image processing
- concept drifting data streams
- data sets