Random Ensemble Decision Trees for Learning Concept-Drifting Data Streams.
Pei-Pei LiXindong WuQianhui LiangXuegang HuYuhong ZhangPublished in: PAKDD (1) (2011)
Keyphrases
- concept drifting data streams
- decision trees
- learning algorithm
- machine learning
- supervised learning
- learning tasks
- random forest
- training data
- reinforcement learning
- unsupervised learning
- incremental learning
- classifier ensemble
- previously unseen
- reinforcement learning methods
- drift detection
- inductive learning algorithms