Fast Perceptron Decision Tree Learning from Evolving Data Streams.
Albert BifetGeoffrey HolmesBernhard PfahringerEibe FrankPublished in: PAKDD (2) (2010)
Keyphrases
- decision tree learning
- evolving data streams
- random forests
- decision trees
- ensemble methods
- learning algorithm
- data streams
- streaming data
- concept drift
- constructive induction
- stream mining
- attribute values
- neural network
- meta learning
- decision tree induction
- support vector
- random forest
- prediction accuracy
- data stream mining
- information gain
- machine learning algorithms
- machine learning
- logistic regression
- sliding window
- benchmark datasets
- naive bayes