Low-Dimensional Representation Learning from Imbalanced Data Streams

Łukasz Korycki; Bartosz Krawczyk

doi:10.1007/978-3-030-75762-5_50

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Low-Dimensional Representation Learning from Imbalanced Data Streams

Łukasz Korycki Bartosz Krawczyk

Year: 2021 Lecture notes in computer science Pages: 629-641 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-75762-5_50

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Keywords:

Computer science Concept drift Data stream mining Skew Artificial intelligence Machine learning Classifier (UML) Data stream Resampling Entropy (arrow of time) Discriminative model Ensemble learning STREAMS Embedding Data mining

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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

Low-Dimensional Representation Learning from Imbalanced Data Streams

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