Improving the performance of bagging ensembles for data streams through mini-batching.
Guilherme Weigert CassalesHeitor Murilo GomesAlbert BifetBernhard PfahringerHermes SengerPublished in: CoRR (2021)
Keyphrases
- data streams
- ensemble methods
- ensemble learning
- ensemble selection
- imbalanced data
- random forests
- decision trees
- neural network ensembles
- sliding window
- concept drift
- base classifiers
- ensemble members
- tree ensembles
- decision tree ensembles
- classifier ensemble
- prediction accuracy
- base learners
- random forest
- sensor networks
- streaming data
- ensemble classifier
- rotation forest
- machine learning
- data sets
- meta learning
- generalization error
- stream data
- weighted voting
- itemsets
- data streaming
- scheduling problem
- parameter settings
- stream processing
- majority voting
- machine learning methods
- multi class
- active learning
- training set