Publisher
Springer Nature Singapore
Reference44 articles.
1. Gama J, Medas P, Castillo G, Rodrigues PP (2004) Learning with drift detection. In Proceedings of the 16th European conference on machine learning (pp 115–126). Springer, Berlin, Heidelberg
2. Mehmood H, Kostakos P, Cortes M, Anagnostopoulos T, Pirttikangas S, Gilman E (2021) Concept drift adaptation techniques in distributed environment for real-world data streams. Smart Cities 4(1):349–371
3. Lu J, Liu A, Song Y, Zhang G (2020) Data-driven decision support under concept drift in streamed big data. Compl Intell Syst 6(1):157–163
4. Dong X, Yu Z, Cao W, Shi Y, Ma Q (2020) A survey on ensemble learning. Front Comp Sci 14:241–258
5. Somasundaram A, Reddy S (2019) Parallel and incremental credit card fraud detection model to handle concept drift and data imbalance. Neural Comput Appl 31:3–14