Learning concept-drifting data streams with random ensemble decision trees.
Pei-Pei LiXindong WuXuegang HuHao WangPublished in: Neurocomputing (2015)
Keyphrases
- concept drifting data streams
- decision trees
- learning algorithm
- classifier ensemble
- active learning
- training data
- machine learning algorithms
- learning tasks
- previously unseen
- inductive learning algorithms
- machine learning
- reinforcement learning
- domain knowledge
- incremental learning
- random forest
- concept drift
- knowledge transfer