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Real-Time Data Analytics for Large Scale Sensor Data - (Advances in Ubiquitous Sensing Applications for Healthcare) (Paperback)
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Highlights
- 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.
- Author(s): Himansu Das & Nilanjan Dey & Valentina Emilia Balas
- 298 Pages
- Science, Biotechnology
- Series Name: Advances in Ubiquitous Sensing Applications for Healthcare
Description
Book Synopsis
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.
Dimensions (Overall): 9.25 Inches (H) x 7.5 Inches (W) x .62 Inches (D)
Weight: 1.14 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 298
Genre: Science
Sub-Genre: Biotechnology
Series Title: Advances in Ubiquitous Sensing Applications for Healthcare
Publisher: Academic Press
Format: Paperback
Author: Himansu Das & Nilanjan Dey & Valentina Emilia Balas
Language: English
Street Date: September 3, 2019
TCIN: 1008293749
UPC: 9780128180143
Item Number (DPCI): 247-46-9577
Origin: Made in the USA or Imported
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Shipping details
Estimated ship dimensions: 0.62 inches length x 7.5 inches width x 9.25 inches height
Estimated ship weight: 1.14 pounds
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