Reinforcement Learning Based Decision Tree Induction Over Data Streams with Concept Drifts.
Christopher BlakeEirini NtoutsiPublished in: ICBK (2018)
Keyphrases
- decision tree induction
- concept drift
- data streams
- reinforcement learning
- streaming data
- decision trees
- mining data streams
- data stream mining
- drifting concepts
- data stream classification
- sliding window
- stream data
- drift detection
- concept drifting data streams
- change detection
- cross validation
- data mining methods
- evolving data streams
- data distribution
- stream mining
- classification algorithm
- data mining
- non stationary
- closed frequent itemsets
- ensemble learning
- itemsets
- learning algorithm
- machine learning
- induction algorithms
- data sets