Titlebook: Big Data for the Greater Good; Ali Emrouznejad,Vincent Charles Book 2019 Springer International Publishing AG, part of Springer Nature 201

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Capitulate

情愛

https://doi.org/10.1007/b101190alance training and Scope—a system collecting physiological data, is provided both in collaborating rehabilitation centers and at patient homes. The preliminary results are documented using a case study confirming that the approach offers a viable way towards the greater good of a patient.

MORPH

https://doi.org/10.1007/978-3-031-53558-1 present confidence bounds that allow us to measure uncertainty of the uptake based on different scenarios. Finally, two case-studies are reported, describing applications of these techniques to energy modelling on a real low-voltage network in Bracknell, UK. These studies show how applying agent-ba

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Big Data for the Greater Good: An Introduction, of the social value that can be extracted from it; to this aim, we explore some of the key literature on the subject. We also call attention to the potential ‘dark’ side of Big Data, but argue that more studies are needed to fully understand the downside of it. We conclude this chapter with some fi

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Big Data and Sensitive Data,g trustee institutions and foster new types of data collaborations and business models. The chapter provides an introduction to CoED, and presents CoED applications for collaborative statistics when applied to financial risk assessment in banks and directly to the banks’ customers. Another applicati

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