On Ensemble Techniques for Data Stream Regression.
Heitor Murilo GomesJacob MontielSaulo Martiello MasteliniBernhard PfahringerAlbert BifetPublished in: IJCNN (2020)
Keyphrases
- data streams
- regression problems
- mining concept drifting data streams
- sliding window
- concept drift
- linear regression
- ensemble learning
- regression model
- genetic programming
- change detection
- streaming data
- concept drifting
- ensemble methods
- data stream mining
- base learners
- neural network
- stream data
- cross validation
- random forests
- distributed data streams
- ensemble classifier
- data distribution
- random forest
- data sets
- high level declarative
- frequent itemsets
- support vector
- feature selection
- noisy data streams
- massive data streams
- high dimensional data
- model selection
- regression method
- space efficient
- training set
- continuous data streams
- model averaging
- regression algorithm
- learning algorithm
- outlier detection
- multi dimensional data
- itemsets
- non stationary
- classifier ensemble
- heavy hitters
- similarity search
- least squares
- data flow
- support vector regression