A Bayesian Approach for an Efficient Data Reduction in IoT - researchr publication authors

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Cristanel Razafimandimby, Valeria Loscrì, Anna Maria Vegni, Driss Aourir, Alessandro Neri. A Bayesian Approach for an Efficient Data Reduction in IoT. In Giancarlo Fortino, Carlos E. Palau, Antonio Guerrieri, Nora Cuppens, Frédéric Cuppens, Hakima Chaouchi, Alban Gabillon, editors, Interoperability, Safety and Security in IoT - Third International Conference, InterIoT 2017, and Fourth International Conference, SaSeIot 2017, Valencia, Spain, November 6-7, 2017, Proceedings. Volume 242 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, pages 3-10, Springer, 2017. [doi]

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