Disruptive Technologies for Big Data and Cloud Applications Proceedings of ICBDCC 2021 / edited by J Dinesh Peter, Steven Lawrence Fernandes, Amir H Alavi
Contributor(s): Peter, J. Dinesh, editor literario | Fernandes, Steven Lawrence, editor literario | Alavi, Amir H, editor literario
Series: (Lecture Notes in Electrical Engineering, 1876-1119; 905).Publisher: Singapore : Springer International Publishing, 2022Edition: 1st edition 2022.Description: 1 recurso en línea (XVI, 907 páginas) : 555 ilustraciones, 448 ilustraciones a color.ISBN: 9789811921773.Online resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
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LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Acceso electrónico | eBook.25123117 |
Part I -- Introduction -- Part II -- Data models and machine learning techniques for big data -- Infrastructure, platform, application, business, social and mobile cloud -- Cloud and data privacy -- Data analytics in Cloud -- Big Data & cloud technologies for business and applications and research -- Index.
This book provides a written record of the synergy that already exists among the research communities and represents a solid framework in the advancement of big data and cloud computing disciplines from which new interaction will result in the future. This book is a compendium of the International Conference on Big Data and Cloud Computing (ICBDCC 2021). It includes recent advances in big data analytics, cloud computing, the Internet of nano things, cloud security, data analytics in the cloud, smart cities and grids, etc. This book primarily focuses on the application of knowledge that promotes ideas for solving the problems of society through cutting-edge technologies. The articles featured in this book provide novel ideas that contribute to the growth of world-class research and development. The contents of this book are of interest to researchers and professionals alike.
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