Predictive intelligence using big data and the internet of things /

"This book provides state-of-the-art research on big data and the Internet of Things (IoT), along with other related areas to ensure efficient and Internet-compatible IoT systems. It discusses various issues related to big data security and privacy challenges along with energy-efficient approac...

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Bibliographic Details
Corporate Authors: IGI Global
Group Author: Gupta, P. K., 1976- (Editor); Oren, Tuncer I. (Editor); Singh, Mayank, 1982- (Editor)
Published: IGI Global,
Publisher Address: Hershey, Pennsylvania :
Publication Dates: [2019]
Literature type: eBook
Language: English
Subjects:
Online Access: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-6210-8
https://doi.org/10.4018/978-1-5225-6210-8
Summary: "This book provides state-of-the-art research on big data and the Internet of Things (IoT), along with other related areas to ensure efficient and Internet-compatible IoT systems. It discusses various issues related to big data security and privacy challenges along with energy-efficient approaches to improve virtual machine placement in cloud computing environments"...
Item Description: Includes bibliographical references and index.
Carrier Form: 20 PDFs (xv, 300 pages)
Access: Restricted to subscribers or individual electronic text purchasers.
Index Number: TK5105
CLC: TP393.4
Contents: Section 1. Predictive intelligence and big data. Chapter 1. Big-data-based techniques for predictive intelligence ; Chapter 2. Big-data-based architectures and techniques: big data reference architecture ; Chapter 3. Quality assurance issues for big data applications in supply chain management ; Chapter 4. Big data analytics: educational data classification using hadoop-inspired mapreduce framework -- Section 2. Predictive intelligence and IoT. Chapter 5. Improved usability of IOT devices in healthcare using big data analysis ; Chapter 6. Cloud-based predictive intelligence and its security model ; Chapter 7. IoT-based cold chain logistics monitoring ; Chapter 8. Learning-aided IoT set-up for home surveillance applications ; Chapter 9. Application of predictive intelligence in water quality forecasting of the river ganga using support vector machines ; Chapter 10. Interference management techniques for device-to-device communications.