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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....
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London, United Kingdom ; San Diego, California :
Academic Press, an imprint of Elsevier,
[2020]
|
| Colección: | Advances in ubiquitous sensing applications for healthcare ;
v. 6. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 003 | OCoLC | ||
| 005 | 20231120010411.0 | ||
| 006 | m o d | ||
| 007 | cr |n||||||||| | ||
| 008 | 191107s2020 enka ob 001 0 eng d | ||
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| 015 | |a GBB9F3451 |2 bnb | ||
| 016 | 7 | |a 019533521 |2 Uk | |
| 019 | |a 1117464643 |a 1229540962 | ||
| 020 | |a 9780128182420 |q (electronic bk.) | ||
| 020 | |a 0128182423 |q (electronic bk.) | ||
| 020 | |z 9780128180143 | ||
| 020 | |z 0128180145 | ||
| 035 | |a (OCoLC)1137751746 |z (OCoLC)1117464643 |z (OCoLC)1229540962 | ||
| 050 | 4 | |a TA165 |b .R43 2020 | |
| 082 | 0 | 4 | |a 681.2 |2 23 |
| 245 | 0 | 0 | |a Real-time data analytics for large scale sensor data / |c Volume Editors: Himansu Das, Nilanjan Dey, Valentina Emilia Balas. |
| 264 | 1 | |a London, United Kingdom ; |a San Diego, California : |b Academic Press, an imprint of Elsevier, |c [2020] | |
| 300 | |a 1 online resource (xviii, 279 pages ): |b illustrations. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |2 rdamedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 490 | 1 | |a Advances in ubiquitous sensing applications for healthcare ; |v Volume Six | |
| 504 | |a Includes bibliographical references and index. | ||
| 588 | |a Description based on print version record. | ||
| 520 | |a 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. | ||
| 650 | 0 | |a Detectors. | |
| 650 | 0 | |a Real-time data processing. | |
| 650 | 6 | |a Temps r�eel (Informatique) |0 (CaQQLa)201-0017753 | |
| 650 | 7 | |a Detectors |2 fast |0 (OCoLC)fst00891594 | |
| 650 | 7 | |a Real-time data processing |2 fast |0 (OCoLC)fst01091219 | |
| 700 | 1 | |a Das, Himansu, |e editor. | |
| 700 | 1 | |a Dey, Nilanjan, |e editor. | |
| 700 | 1 | |a Balas, Valentina Emilia, |e editor. | |
| 776 | 0 | 8 | |i ebook version : |z 9780128182420 |
| 776 | 0 | 8 | |c Original |z 9780128180143 |z 0128180145 |w (OCoLC)1096531110 |
| 830 | 0 | |a Advances in ubiquitous sensing applications for healthcare ; |v v. 6. | |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/book/9780128180143 |z Texto completo |