An Overview on Concept Drift Learning-Reference-Cited by-同舟云学术

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An Overview on Concept Drift Learning

Published:2019 Issue: Volume:7 Page:1532-1547
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Iwashita Adriana Sayuri^ORCID,Papa Joao Paulo^ORCID

Funder

Fundação de Amparo à Pesquisa do Estado de São Paulo

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8600701/08571222.pdf?arnumber=8571222

Cited by 103 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An experimental review of the ensemble-based data stream classification algorithms in non-stationary environments;Computers and Electrical Engineering;2024-09

2. Detecting and rationalizing concept drift: A feature-level approach for understanding cause-effect relationships in dynamic environments;Expert Systems with Applications;2024-09

3. Advances in drift compensation algorithms for electronic nose technology;Sensor Review;2024-08-30

4. A benchmark and survey of fully unsupervised concept drift detectors on real-world data streams;International Journal of Data Science and Analytics;2024-08-27

5. Improved temporal IoT device identification using robust statistical features;PeerJ Computer Science;2024-07-09

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