Cost-sensitive continuous ensemble kernel learning for imbalanced data streams with concept drift

Author:

Chen YingyingORCID,Yang Xiaowei,Dai Hong-Liang

Funder

Ministry of Science and Technology of the People's Republic of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference66 articles.

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3. B. Sudharsan, J.G. Breslin, M.I. Ali, Imbal-ol: Online machine learning from imbalanced data streams in real-world IoT, in: Proc. IEEE Int. Conf. Big Data, Big Data, 2021, pp. 4974–4978.

4. Event detection on Twitter by mapping unexpected changes in streaming data into a spatiotemporal lattice;Shah;IEEE Trans. Big Data,2019

5. Z. Liu, W. Cao, Z. Gao, J. Bian, H. Chen, Y. Chang, T.-Y. Liu, Self-paced ensemble for highly imbalanced massive data classification, in: Proc. 36th Int. Conf. on Data Eng., 2020, pp. 841–852.

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