A Study on Imbalanced Data Streams

Machine Learning and Knowledge Discovery in Databases - Communications in Computer and Information Science ◽

10.1007/978-3-030-43887-6_31 ◽

2020 ◽

pp. 380-389

Author(s):

Ehsan Aminian ◽

Rita P. Ribeiro ◽

João Gama

Keyword(s):

Data Streams ◽

Imbalanced Data

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Dynamic weighted selective ensemble learning algorithm for imbalanced data streams

The Journal of Supercomputing ◽

10.1007/s11227-021-04084-w ◽

2021 ◽

Author(s):

Zhang Yan ◽

Du Hongle ◽

Ke Gang ◽

Zhang Lin ◽

Yeh-Cheng Chen

Keyword(s):

Ensemble Learning ◽

Data Streams ◽

Learning Algorithm ◽

Imbalanced Data ◽

Selective Ensemble ◽

Ensemble Learning Algorithm

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Prior Probability Estimation in Dynamically Imbalanced Data Streams

10.1109/ijcnn52387.2021.9533795 ◽

2021 ◽

Author(s):

Joanna Komorniczak ◽

Pawel Zyblewski ◽

Pawel Ksieniewicz

Keyword(s):

Data Streams ◽

Prior Probability ◽

Imbalanced Data ◽

Probability Estimation

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GEP-based classifier with drift detection for mining imbalanced data streams

Procedia Computer Science ◽

10.1016/j.procs.2020.08.005 ◽

2020 ◽

Vol 176 ◽

pp. 41-49

Author(s):

Joanna Jedrzejowicz ◽

Piotr Jedrzejowicz

Keyword(s):

Data Streams ◽

Imbalanced Data

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Online Bagging and Boosting for Imbalanced Data Streams

IEEE Transactions on Knowledge and Data Engineering ◽

10.1109/tkde.2016.2609424 ◽

2016 ◽

Vol 28 (12) ◽

pp. 3353-3366 ◽

Author(s):

Boyu Wang ◽

Joelle Pineau

Keyword(s):

Data Streams ◽

Imbalanced Data

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An Ensemble Classification Algorithm for Imbalanced Data Streams with Unlabeled Data

Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Advances in Intelligent Systems and Computing ◽

10.1007/978-3-030-70665-4_130 ◽

2021 ◽

pp. 1203-1210

Author(s):

Zhongxin Wang ◽

Gang Sun ◽

Jia Zhao ◽

Hao Wang ◽

Zhengqi Ding

Keyword(s):

Data Streams ◽

Imbalanced Data ◽

Classification Algorithm ◽

Unlabeled Data ◽

Ensemble Classification

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Low-Dimensional Representation Learning from Imbalanced Data Streams

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-030-75762-5_50 ◽

2021 ◽

pp. 629-641

Author(s):

Łukasz Korycki ◽

Bartosz Krawczyk

Keyword(s):

Data Streams ◽

Imbalanced Data ◽

Representation Learning ◽

Dimensional Representation ◽

Low Dimensional

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A cluster and label approach for classifying imbalanced data streams in the presence of scarcely labeled data

International Journal of Business Intelligence and Data Mining ◽

10.1504/ijbidm.2022.10042780 ◽

2022 ◽

Vol 1 (1) ◽

pp. 1

Author(s):

Kiran Bhowmick ◽

Meera Narvekar

Keyword(s):

Data Streams ◽

Imbalanced Data

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GPU-Accelerated Extreme Learning Machines for Imbalanced Data Streams with Concept Drift

Procedia Computer Science ◽

10.1016/j.procs.2016.05.509 ◽

2016 ◽

Vol 80 ◽

pp. 1692-1701 ◽

Author(s):

Bartosz Krawczyk

Keyword(s):

Data Streams ◽

Concept Drift ◽

Imbalanced Data ◽

Extreme Learning Machines ◽

Learning Machines

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Resample-Based Ensemble Framework for Drifting Imbalanced Data Streams

IEEE Access ◽

10.1109/access.2019.2914725 ◽

2019 ◽

Vol 7 ◽

pp. 65103-65115 ◽

Author(s):

Hang Zhang ◽

Weike Liu ◽

Shuo Wang ◽

Jicheng Shan ◽

Qingbao Liu

Keyword(s):

Data Streams ◽

Imbalanced Data

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Adaptive Chunk-Based Dynamic Weighted Majority for Imbalanced Data Streams With Concept Drift

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2019.2951814 ◽

2020 ◽

Vol 31 (8) ◽

pp. 2764-2778 ◽

Author(s):

Yang Lu ◽

Yiu-Ming Cheung ◽

Yuan Yan Tang

Keyword(s):

Data Streams ◽

Concept Drift ◽

Imbalanced Data ◽

Weighted Majority

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