A Random Decision Tree Ensemble for Mining Concept Drifts from Noisy Data Streams.
Pei-Pei LiXindong WuXuegang HuQianhui LiangYunjun GaoPublished in: Appl. Artif. Intell. (2010)
Keyphrases
- noisy data streams
- decision trees
- concept drift
- mining concept drifting data streams
- concept drifting
- concept drifting data streams
- data streams
- streaming data
- stream data
- machine learning
- naive bayes
- ensemble classifier
- classification algorithm
- non stationary
- noisy data
- ensemble methods
- random forest
- ensemble learning
- decision tree algorithm
- data mining
- training data
- data distribution
- data stream mining
- multi class
- drift detection
- support vector
- frequent itemsets