Advances in Big Data and Cloud Computing [electronic resource] /
Contributor(s): Rajsingh, Elijah Blessing [editor.] | Veerasamy, Jey [editor.] | Alavi, Amir H [editor.] | Peter, J. Dinesh [editor.] | SpringerLink (Online service).
Series: Advances in Intelligent Systems and Computing: 645Publisher: Singapore : Springer Singapore : Imprint: Springer, 2018Edition: 1st ed. 2018.Description: X, 413 p. | Binding - Card Paper |.Content type: text Media type: computer Carrier type: online resourceISBN: 9789811072000.Subject(s): Computer Engineering
| Computational Intelligence | Big Data | Communications Engineering, NetworksDDC classification: 006.3 Online resources: Click here to access eBook in Springer Nature platform. (Within Campus only.)
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Springer Nature eBookSummary: This book is a compendium of the proceedings of the International Conference on Big-Data and Cloud Computing. It includes recent advances in the areas of big data analytics, cloud computing, the Internet of nano things, cloud security, data analytics in the cloud, smart cities and grids, etc. Primarily focusing on the application of knowledge that promotes ideas for solving the problems of the society through cutting-edge technologies, it provides novel ideas that further world-class research and development. This concise compilation of articles approved by a panel of expert reviewers is an invaluable resource for researchers in the area of advanced engineering sciences.
This book is a compendium of the proceedings of the International Conference on Big-Data and Cloud Computing. It includes recent advances in the areas of big data analytics, cloud computing, the Internet of nano things, cloud security, data analytics in the cloud, smart cities and grids, etc. Primarily focusing on the application of knowledge that promotes ideas for solving the problems of the society through cutting-edge technologies, it provides novel ideas that further world-class research and development. This concise compilation of articles approved by a panel of expert reviewers is an invaluable resource for researchers in the area of advanced engineering sciences.
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