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There has been a multitude of studies focused on the COVID-19 pandemic across fields and disciplines as all sectors of life have had to adjust the way things are done and adapt to the constantly shifting environment. These studies are crucial as they provide support and perspectives on how things are changing and what needs to be done to stay afloat. Connecting COVID-19-related studies and big data analytics is crucial for the advancement of industrial applications and research areas. Applied Big Data Analytics and Its Role in COVID-19 Research introduces the most recent industrial applications and research topics on COVID-19 with big data analytics. Featuring coverage on a broad range of big data technologies such as data gathering, artificial intelligence, smart diagnostics, and mining mobility, this publication provides concrete examples and cases of usage of data-driven projects in COVID-19 research. This reference work is a vital resource for data scientists, technical managers, researchers, scholars, practitioners, academicians, instructors, and students.
| Autorius: | Peng Zhao, Xi Chen, |
| Leidėjas: | Engineering Science Reference |
| Išleidimo metai: | 2022 |
| Knygos puslapių skaičius: | 372 |
| ISBN-10: | 1799887936 |
| ISBN-13: | 9781799887935 |
| Formatas: | 260 x 183 x 25 mm. Knyga kietu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Applied Big Data Analytics and Its Role in COVID-19 Research“
