A cloud-based architecture for explainable Big Data analytics using self-structuring Artificial Intelligence

Abstract Big Data is steadily expanding beyond the boundaries of its foundational constructs of three primary Vs, Volume, Velocity and Variety, and two secondary Vs, Veracity and Value. The advent of 5G networks, Edge computing and IoT technologies has transformed Big Data into this modern context....

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Главные авторы:	Nishan Mills, Zafar Issadeen, Amali Matharaarachchi, Tharindu Bandaragoda, Daswin De Silva, Andrew Jennings, Milos Manic
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Springer 2024-05-01
Серии:	Discover Artificial Intelligence
Предметы:	Artificial Intelligence Big Data analytics Cloud platforms Self structuring Artificial Intelligence Explainable AI
Online-ссылка:	https://doi.org/10.1007/s44163-024-00123-6
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