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