Concept Drifting Detection on Noisy Streaming Data in Random Ensemble Decision Trees.
Pei-Pei LiXuegang HuQianhui LiangYunjun GaoPublished in: MLDM (2009)
Keyphrases
- concept drifting
- streaming data
- concept drifting data streams
- noisy data streams
- mining concept drifting data streams
- decision trees
- data streams
- stream data
- mining data streams
- concept drift
- anomaly detection
- sliding window
- noisy data
- change detection
- data distribution
- classifier ensemble
- ensemble learning
- machine learning
- incoming data
- continuous queries
- drift detection
- inductive learning algorithms
- data sets