Uncertainty and Imprecision in Big Data Management : Models, Issues, Paradigms, and Future Research Directions - Université de Lorraine
Communication Dans Un Congrès Proceedings of the 2020 4th International Conference on Cloud and Big Data Computing Année : 2020

Uncertainty and Imprecision in Big Data Management : Models, Issues, Paradigms, and Future Research Directions

Résumé

This paper provides an overview of state-of-the-art proposals and forefront research directions in the context of uncertainty and imprecision in big data management, an emerging topic in the actual research community.

Domaines

Informatique [cs]

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https://hal.univ-lorraine.fr/hal-03284166

Soumis le : lundi 19 juillet 2021-14:46:41

Dernière modification le : dimanche 12 mai 2024-22:56:03

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Dates et versions

hal-03284166 , version 1 (19-07-2021)

Identifiants

Citer

Alfredo Cuzzocrea. Uncertainty and Imprecision in Big Data Management : Models, Issues, Paradigms, and Future Research Directions. ICCBDC '20: Proceedings of the 2020 4th International Conference on Cloud and Big Data Computing, Aug 2020, Virtual, United Kingdom. ⟨10.1145/3416921.3416943⟩. ⟨hal-03284166⟩

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