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Drift-Detectors

Repositório destinado a implementação dos detectores de mudança de conceito.

DDAL

A Drift Detection Method Based on Active Learning.

DDAL is a concept drift detection method based on density variation of the most significant instances selected for Active Learning. More information: https://ieeexplore.ieee.org/document/8489364

* Albert França Josuá Costa
* Regis Antonio Saraiva Albuquerque
* Eulanda Miranda dos Santos

Citing DDAL

If you want to refer to DDAL in a publications, please cite the following paper:

A. F. J. Costa, R. A. S. Albuquerque and E. M. d. Santos, "A Drift Detection Method Based on Active Learning," 2018 International Joint Conference on Neural Networks (IJCNN), Rio de Janeiro, Brazil, 2018, pp. 1-8, doi: 10.1109/IJCNN.2018.8489364

DDM

EDDM