On Robustness of Adaptive Random Forest Classifier on Biomedical Data Stream-Reference-Cited by-同舟云学术

On Robustness of Adaptive Random Forest Classifier on Biomedical Data Stream

Published:2020 Issue: Volume: Page:332-344
ISSN:0302-9743
Container-title:Intelligent Information and Database Systems
language:
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Author:

Fatlawi Hayder K.^ORCID,Kiss Attila^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-41964-6_29

Reference18 articles.

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3. Gama, J.: Knowledge Discovery from Data Streams. Chapman and Hall/CRC, London (2010)

4. Krempl, G., et al.: Open challenges for data stream mining research. ACM SIGKDD Explor. Newsl. 16(1), 1–10 (2014)

5. Babenko, B., Yang, M.-H., Belongie, S.: A family of online boosting algorithms. In: 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops, pp. 1346–1353. IEEE (2009)

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