Real-Time Data Analytics for Large Scale Sensor Data - Himansu Das,Nilanjan Dey,Valentina Emilia Balas
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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 ... Pilns apraksts
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Aprašymas
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.
Vairāk informācijas
| Autors | Himansu Das, Nilanjan Dey, Valentina Emilia Balas |
|---|---|
| Izdevējs | Elsevier Science |
| Izlaides gads | 2019 |
| Vāka tips | Mīkstais vāks |
| EAN | 9780128180143 |