Multi-label classification from high-speed data streams with adaptive model rules and random rules

Author:

Sousa RicardoORCID,Gama João

Funder

European Regional Development Fund

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Reference24 articles.

1. Aggarwal, C.C.: Data Streams: Models and Algorithms (Advances in Database Systems). Springer, New York (2006)

2. Almeida, E., Ferreira, C., Gama, J.: Adaptive model rules from data streams. In: ECML 2013—European Conference on Machine Learning (2013)

3. Bifet, A., Holmes, G., Kirkby, R., Pfahringer, B.: Moa: massive online analysis. J. Mach. Learn. Res. 11, 1601–1604 (2010)

4. Bifet, A., Holmes, G., Pfahringer, B., Kirkby, R., Gavaldà, R.: New ensemble methods for evolving data streams. In: Proceedings of the 15th ACM SIGKDD International Conference, KDD ’09, pp. 139–148. ACM, New York (2009)

5. Bifet, A., Kirkby, R.: Data stream mining: a practical approach. The University of Waikato, Tech. rep. (2009)

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