Applied Big Data Analytics and Its Role in COVID-19 Research
- 6h 8m
- Peng Zhao, Xi Chen
- IGI Global
- 2022
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.
About the Author
Peng Zhao is a data science professional with experience in industry, teaching, and research. He has a broad range of practical data science experience in different industries, including finance, mobile device, consumer intelligence, big data technology, insurance, and biomedical industries. He is a leading machine learning expertise in a Big Data & AI company in New Jersey. He also manages a data scientist team providing a variety of data consulting services to individuals, businesses, and non-profit organizations.
Xi Chen is a lecturer in the School of Humanity and Law at Beijing University of Civil Engineering and Architecture. She is also a research assistant in Beijing Research Base for Architectural Culture. Her current research interests include English academic writing, settlement evolution and urbanization in China and the U.S., urban studies, inter-cultural analysis, globalization, and cognitive linguistics.
In this Book
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Data Gathering, Processing, and Visualization for COVID-19
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Simulating and Preventing COVID-19 Using Epidemiological Models
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Forecasting Techniques for the Pandemic Trend of COVID-19
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Mining Mobility Data in Response to COVID-19
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Monitoring Social Distancing with Real-Time Detection and Tracking
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Artificial Intelligence Methods for Face Covering Detections
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Identifying COVID-19 Cases Rapidly and Remotely Using Big Data Analytics
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Smart Diagnostics of COVID-19 with Data-Driven Approaches
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The Role of Big Data Analytics in Drug Discovery and Vaccine Development against COVID-19
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Developing a Web-Based COVID-19 Fake News Detector with Deep Learning
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Fighting Anti-Asian Hate in and after the COVID-19 Crisis with Big Data Analytics
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Big Data Thinking of Economy, Investment, and Business in COVID-19
