Drift Detection Ensemble (DDE) [1] is a small ensemble classifier that aggregates the warnings and drift detections of three concept drift detectors aiming to improve the results of the individual methods using different strategies and configurations. The corresponding code can be downloaded via the link below:
[1] Bruno I. F. Maciel, Silas Garrido T. C. Santos, and Roberto S. M. Barros, “A Lightweight Concept Drift Detection Ensemble” in IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2015.
Silas Garrido - sgtcs@cin.ufpe.br