A comprehensive active learning method for multiclass imbalanced data streams with concept drift
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Title
A comprehensive active learning method for multiclass imbalanced data streams with concept drift
Authors
Keywords
Online active learning, Multiclass imbalance, Concept drift, Data stream
Journal
KNOWLEDGE-BASED SYSTEMS
Volume 215, Issue -, Pages 106778
Publisher
Elsevier BV
Online
2021-01-15
DOI
10.1016/j.knosys.2021.106778
References
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Related references
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- Active Learning With Drifting Streaming Data
- (2013) Indre Zliobaite et al. IEEE Transactions on Neural Networks and Learning Systems
- Incremental Learning of Concept Drift from Streaming Imbalanced Data
- (2012) Gregory Ditzler et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Incremental Learning of Concept Drift in Nonstationary Environments
- (2011) R. Elwell et al. IEEE TRANSACTIONS ON NEURAL NETWORKS
- Active Learning From Stream Data Using Optimal Weight Classifier Ensemble
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- Classifying Data Streams with Skewed Class Distributions and Concept Drifts
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