An Innovative Big Data Framework for Supporting Multidimensional Risk Analysis and Prediction over Digital Twins

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.