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Exploring the convergence of big data and the Internet of things

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Exploring the convergence of big data and the Internet of things/ A.V. Krishna Prasad, editor.
other author:	Prasad, A. V. Kirshna,
Published:	Hershey, Pennsylvania :IGI Global, : [2017],
Description:	1 online resource (xix, 332 p.) :ill. :
基督教聖經之智慧書導讀 :	A pivotal reference source featuring the latest empirical research on the business use of computing devices to send and receive data in conjunction with analytic applications to reduce maintenance costs, avoid equipment failures, and improve business operations. Including research on a broad range of topics such as supply chain, aquaculture, and speech recognition systems, this book is ideally designed for researchers, academicians, and practitioners seeking current research on various technology uses in business.
Subject:	Internet of things. -
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-2947-7
ISBN:	9781522529484 (ebook)

Exploring the convergence of big data and the Internet of things
Exploring the convergence of big data and the Internet of things[electronic resource] /A.V. Krishna Prasad, editor. - Hershey, Pennsylvania :IGI Global,[2017] - 1 online resource (xix, 332 p.) :ill.

Includes bibliographical references and index.

Chapter 1. Big data and cloud computing: a review of supply chain capabilities and challenges -- Chapter 2. Big data analytics in aquaculture using hive and hadoop platform -- Chapter 3. Big data mining: a forecast to the future -- Chapter 4. Cloud computing education strategies: a review -- Chapter 5. Computational linguistic distances and big data: optimising the speech recognition systems -- Chapter 6. Big data in mobile commerce: customer relationship management -- Chapter 7. Internet of things: concepts, applications, and challenges -- Chapter 8. Internet of things for smart cities -- Chapter 9. PIR-enabled security system for Internet of things using Raspberry Pi -- Chapter 10. Adaptive control strategies for task scheduler using Internet of things -- Chapter 11. Centralized fog computing security platform for IoT and cloud in healthcare system -- Chapter 12. An intelligent parking system in smart cities using IoT -- Chapter 13. Data mining for the Internet of things -- Chapter 14. A study on performance of e-commerce web applications -- Chapter 15. Performance improvement IoT applications through multimedia analytics using big data stream computing platforms -- Chapter 16. Predictive analytics to support clinical trials get healthier -- Chapter 17. Big data and Internet of things for analysing and designing systems based on hyperspectral images -- Chapter 18. Can LTE-A support real-time smart meter traffic in the smart grid? -- Chapter 19. Mobile cloud gaming and today's world.

Restricted to subscribers or individual electronic text purchasers.

A pivotal reference source featuring the latest empirical research on the business use of computing devices to send and receive data in conjunction with analytic applications to reduce maintenance costs, avoid equipment failures, and improve business operations. Including research on a broad range of topics such as supply chain, aquaculture, and speech recognition systems, this book is ideally designed for researchers, academicians, and practitioners seeking current research on various technology uses in business.

ISBN: 9781522529484 (ebook)Subjects--Topical Terms:

387469
Internet of things.

LC Class. No.: TK5105.8857 / .E96 2018e

Dewey Class. No.: 004.67/8

Exploring the convergence of big data and the Internet of things
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245 0 0 $a Exploring the convergence of big data and the Internet of things $h [electronic resource] / $c A.V. Krishna Prasad, editor.
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300 $a 1 online resource (xix, 332 p.) : $b ill.
504 $a Includes bibliographical references and index.
505 0 $a Chapter 1. Big data and cloud computing: a review of supply chain capabilities and challenges -- Chapter 2. Big data analytics in aquaculture using hive and hadoop platform -- Chapter 3. Big data mining: a forecast to the future -- Chapter 4. Cloud computing education strategies: a review -- Chapter 5. Computational linguistic distances and big data: optimising the speech recognition systems -- Chapter 6. Big data in mobile commerce: customer relationship management -- Chapter 7. Internet of things: concepts, applications, and challenges -- Chapter 8. Internet of things for smart cities -- Chapter 9. PIR-enabled security system for Internet of things using Raspberry Pi -- Chapter 10. Adaptive control strategies for task scheduler using Internet of things -- Chapter 11. Centralized fog computing security platform for IoT and cloud in healthcare system -- Chapter 12. An intelligent parking system in smart cities using IoT -- Chapter 13. Data mining for the Internet of things -- Chapter 14. A study on performance of e-commerce web applications -- Chapter 15. Performance improvement IoT applications through multimedia analytics using big data stream computing platforms -- Chapter 16. Predictive analytics to support clinical trials get healthier -- Chapter 17. Big data and Internet of things for analysing and designing systems based on hyperspectral images -- Chapter 18. Can LTE-A support real-time smart meter traffic in the smart grid? -- Chapter 19. Mobile cloud gaming and today's world.
506 $a Restricted to subscribers or individual electronic text purchasers.
520 $a A pivotal reference source featuring the latest empirical research on the business use of computing devices to send and receive data in conjunction with analytic applications to reduce maintenance costs, avoid equipment failures, and improve business operations. Including research on a broad range of topics such as supply chain, aquaculture, and speech recognition systems, this book is ideally designed for researchers, academicians, and practitioners seeking current research on various technology uses in business.
650 0 $a Internet of things. $3 387469
650 0 $a Big data. $3 387512
650 0 $a Convergence (Telecommunication) $3 433720
700 1 $a Prasad, A. V. Kirshna, $d 1974- $e editor. $3 433719
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-2947-7