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

Alfredo Cuzzocrea 1, 2
2 CARAMBA - Cryptology, arithmetic : algebraic methods for better algorithms
LORIA - ALGO - Department of Algorithms, Computation, Image and Geometry, Inria Nancy - Grand Est
Abstract : 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.
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Conference papers
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https://hal.univ-lorraine.fr/hal-03284166
Contributor : Maira Nassau <>
Submitted on : Monday, July 19, 2021 - 2:46:41 PM
Last modification on : Friday, September 10, 2021 - 3:31:42 AM

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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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