Focusing on the innovative context that predicates the integration between digital twin technologies and big data paradigms, including management and analytics, this paper proposes models, principles and implementations of a framework for supporting multidimensional risk analysis and prediction over digital twins. We complement our research contributions by means of a comprehensive experimental campaign over real-life datasets that focus on the emerging digital twin healthcare setting.
An Innovative Big Data Framework for Supporting Multidimensional Risk Analysis and Prediction over Digital Twins
Cuzzocrea, Alfredo
;Benlaredj, Ismail
2024-01-01
Abstract
Focusing on the innovative context that predicates the integration between digital twin technologies and big data paradigms, including management and analytics, this paper proposes models, principles and implementations of a framework for supporting multidimensional risk analysis and prediction over digital twins. We complement our research contributions by means of a comprehensive experimental campaign over real-life datasets that focus on the emerging digital twin healthcare setting.File in questo prodotto:
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