Concept drift from 1980 to 2020: a comprehensive bibliometric analysis with future research insight
Author:
Publisher
Springer Science and Business Media LLC
Subject
Control and Optimization,Computer Science Applications,Modeling and Simulation,Control and Systems Engineering
Link
https://link.springer.com/content/pdf/10.1007/s12530-023-09503-2.pdf
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2. Abdullatif A, Masulli F, Rovetta S (2018) Clustering of nonstationary data streams: a survey of fuzzy partitional methods. Wiley Interdiscip Rev Data Min Knowl Discov. 8:e1258. https://doi.org/10.1002/widm.1258.
3. Agrahari S, Singh AK (2021) Concept drift detection in data stream mining : a literature review. J King Saud Univ Comput Inf Sci. 34:9523–9540. https://doi.org/10.1016/j.jksuci.2021.11.006
4. Alonso S, Cabrerizo FJ, Herrera-Viedma E, Herrera F (2009) h-Index: a review focused in its variants, computation and standardization for different scientific fields. J Informetr. 3:273–289. https://doi.org/10.1016/j.joi.2009.04.001
5. Anupama N, Jena S (2019) A novel approach using incremental oversampling for data stream mining. Evol Syst 10:351–362. https://doi.org/10.1007/s12530-018-9249-5
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