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Real-time data analytics for large scale sensor data /
Real-Time Data Analytics for Large-Scale Sensor Data covers the theory and applications of hardware platforms and architectures, the development of software methods, techniques and tools, applications, governance and adoption strategies for the use of massive sensor data in real-time data analytics....
| Call Number: | Libro Electrónico |
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| Other Authors: | , , |
| Format: | Electronic eBook |
| Language: | Inglés |
| Published: |
London, United Kingdom ; San Diego, CA :
Academic Press,
[2020]
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| Edition: | First edition. |
| Series: | Advances in ubiquitous sensing applications for healthcare ;
v. 6. |
| Subjects: | |
| Online Access: | Texto completo (Requiere registro previo con correo institucional) |
| Summary: | Real-Time Data Analytics for Large-Scale Sensor Data covers the theory and applications of hardware platforms and architectures, the development of software methods, techniques and tools, applications, governance and adoption strategies for the use of massive sensor data in real-time data analytics. It presents the leading-edge research in the field and identifies future challenges in this fledging research area. The book captures the essence of real-time IoT based solutions that require a multidisciplinary approach for catering to on-the-fly processing, including methods for high performance stream processing, adaptively streaming adjustment, uncertainty handling, latency handling, and more. |
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| Physical Description: | 1 online resource (1 volume) : illustrations |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9780128182420 0128182423 |