Dealing with Randomness and Concept Drift in Large Datasets

Dealing with Randomness and Concept Drift in Large Datasets

Data-driven solutions to societal challenges continue to bring new dimensions to our daily lives. For example, while good-quality education is a well-acknowledged foundation of sustainable development, innovation and creativity, variations in student attainment and general performance remain commonp...

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Bibliographic Details
Main Authors:	Kassim S. Mwitondi, Raed A. Said
Format:	Article
Language:	English
Published:	MDPI AG 2021-07-01
Series:	Data
Subjects:	artificial neural networks (ANNs) Big Data concept drift data science supervised modelling sustainable development goals
Online Access:	https://www.mdpi.com/2306-5729/6/7/77

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