Learning from Imbalanced Data Streams Using Rotation-Based Ensemble Classifiers

Ireneusz Czarnowski

doi:10.1007/978-3-031-41456-5_60

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Learning from Imbalanced Data Streams Using Rotation-Based Ensemble Classifiers

Ireneusz Czarnowski

Year: 2023 Lecture notes in computer science Pages: 794-805 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-41456-5_60

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Keywords:

Computer science Artificial intelligence Data stream mining Sampling (signal processing) Machine learning Data mining Ensemble learning Selection (genetic algorithm) Class (philosophy) Diversification (marketing strategy) Data sampling Pattern recognition (psychology) Computer vision

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Data Stream Mining Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Imbalanced Data Classification Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Learning from Imbalanced Data Streams Using Rotation-Based Ensemble Classifiers

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Citation History

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