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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Principais autores:	Nishan Mills, Zafar Issadeen, Amali Matharaarachchi, Tharindu Bandaragoda, Daswin De Silva, Andrew Jennings, Milos Manic
格式:	Artigo
語言:	Inglês
出版:	Springer 2024-05-01
叢編:	Discover Artificial Intelligence
主題:	Artificial Intelligence Big Data analytics Cloud platforms Self structuring Artificial Intelligence Explainable AI
在線閱讀:	https://doi.org/10.1007/s44163-024-00123-6
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