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Handbook of research on big data and...
~
Kaur, Gurjit, (1980-)
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Handbook of research on big data and the IoT
Record Type:
Electronic resources : Monograph/item
Title/Author:
Handbook of research on big data and the IoT/ Gurjit Kaur and Pradeep Tomar, editors.
other author:
Kaur, Gurjit,
Published:
Hershey, Pennsylvania :IGI Global, : [2019],
Description:
1 online resource (xxxiv, 568 p.)
[NT 15003449]:
Chapter 1. Big data and IoT applications in real life environment -- Chapter 2. Applications of big data and green IoT-enabling technologies for smart cities -- Chapter 3. Big data utilization, benefits, and challenges for smart city implementation -- Chapter 4. Big data and the Internet of things: current industry practices and their implications for consumer privacy and privacy literacy -- Chapter 5. Big data and IoT opportunities for small and medium-sized enterprises (SMEs) -- Chapter 6. Internet of things with object detection: challenges, applications, and solutions -- Chapter 7. Semantics for big data sets -- Chapter 8. IoT big data architectures, approaches, and challenges: a fog-cloud approach -- Chapter 9. Interoperability in IoT -- Chapter 10. Critical issues in the invasion of the Internet of things (IoT): security, privacy, and other vulnerabilities -- Chapter 11. Security in IoT and big data with technical challenges -- Chapter 12. Disaster management using Internet of things -- Chapter 13. Tools and platforms for developing IoT systems -- Chapter 14. An Internet of things ambient light monitoring system -- Chapter 15. Challenges and solutions of big data and IoT -- Chapter 16. Role of big data in Internet of things networks -- Chapter 17. Role of communication technologies for smart applications in IoT -- Chapter 18. Machine learning, data mining for IoT-based systems -- Chapter 19. Creating a research laboratory on big data and Internet of things for the study and development of digital transformation -- Chapter 20. Big data analytics and internet of things in industrial Internet in former Soviet Union countries -- Chapter 21. Green internet of things (g-IoT): ICT technologies, principles, applications, projects, and challenges -- Chapter 22. Artificial neural network models for large-scale data -- Chapter 23. Personal data privacy and protection in the meeting, incentive, convention, and exhibition (MICE) industry -- Chapter 24. Public administration curriculum-based big data policy-analytic epistemology: symbolic IoT action-learning solution model.
Subject:
Big data - Handbooks, manuals, etc. - Research -
Online resource:
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-7432-3
ISBN:
9781522574330 (e-book)
Handbook of research on big data and the IoT
Handbook of research on big data and the IoT
[electronic resource] /Gurjit Kaur and Pradeep Tomar, editors. - Hershey, Pennsylvania :IGI Global,[2019] - 1 online resource (xxxiv, 568 p.)
Includes bibliographical references and index.
Chapter 1. Big data and IoT applications in real life environment -- Chapter 2. Applications of big data and green IoT-enabling technologies for smart cities -- Chapter 3. Big data utilization, benefits, and challenges for smart city implementation -- Chapter 4. Big data and the Internet of things: current industry practices and their implications for consumer privacy and privacy literacy -- Chapter 5. Big data and IoT opportunities for small and medium-sized enterprises (SMEs) -- Chapter 6. Internet of things with object detection: challenges, applications, and solutions -- Chapter 7. Semantics for big data sets -- Chapter 8. IoT big data architectures, approaches, and challenges: a fog-cloud approach -- Chapter 9. Interoperability in IoT -- Chapter 10. Critical issues in the invasion of the Internet of things (IoT): security, privacy, and other vulnerabilities -- Chapter 11. Security in IoT and big data with technical challenges -- Chapter 12. Disaster management using Internet of things -- Chapter 13. Tools and platforms for developing IoT systems -- Chapter 14. An Internet of things ambient light monitoring system -- Chapter 15. Challenges and solutions of big data and IoT -- Chapter 16. Role of big data in Internet of things networks -- Chapter 17. Role of communication technologies for smart applications in IoT -- Chapter 18. Machine learning, data mining for IoT-based systems -- Chapter 19. Creating a research laboratory on big data and Internet of things for the study and development of digital transformation -- Chapter 20. Big data analytics and internet of things in industrial Internet in former Soviet Union countries -- Chapter 21. Green internet of things (g-IoT): ICT technologies, principles, applications, projects, and challenges -- Chapter 22. Artificial neural network models for large-scale data -- Chapter 23. Personal data privacy and protection in the meeting, incentive, convention, and exhibition (MICE) industry -- Chapter 24. Public administration curriculum-based big data policy-analytic epistemology: symbolic IoT action-learning solution model.
Restricted to subscribers or individual electronic text purchasers.
"This book present and describe the recent research and development in Big Data Analytics and the Internet of Things. It also explores recent emerging trends and technological advances of the Cloud-based Internet of Things"--Provided by publisher.
ISBN: 9781522574330 (e-book)Subjects--Topical Terms:
3395734
Big data
--Research--Handbooks, manuals, etc.
LC Class. No.: QA76.9.B45 / H365 2019e
Dewey Class. No.: 005.7
Handbook of research on big data and the IoT
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Chapter 1. Big data and IoT applications in real life environment -- Chapter 2. Applications of big data and green IoT-enabling technologies for smart cities -- Chapter 3. Big data utilization, benefits, and challenges for smart city implementation -- Chapter 4. Big data and the Internet of things: current industry practices and their implications for consumer privacy and privacy literacy -- Chapter 5. Big data and IoT opportunities for small and medium-sized enterprises (SMEs) -- Chapter 6. Internet of things with object detection: challenges, applications, and solutions -- Chapter 7. Semantics for big data sets -- Chapter 8. IoT big data architectures, approaches, and challenges: a fog-cloud approach -- Chapter 9. Interoperability in IoT -- Chapter 10. Critical issues in the invasion of the Internet of things (IoT): security, privacy, and other vulnerabilities -- Chapter 11. Security in IoT and big data with technical challenges -- Chapter 12. Disaster management using Internet of things -- Chapter 13. Tools and platforms for developing IoT systems -- Chapter 14. An Internet of things ambient light monitoring system -- Chapter 15. Challenges and solutions of big data and IoT -- Chapter 16. Role of big data in Internet of things networks -- Chapter 17. Role of communication technologies for smart applications in IoT -- Chapter 18. Machine learning, data mining for IoT-based systems -- Chapter 19. Creating a research laboratory on big data and Internet of things for the study and development of digital transformation -- Chapter 20. Big data analytics and internet of things in industrial Internet in former Soviet Union countries -- Chapter 21. Green internet of things (g-IoT): ICT technologies, principles, applications, projects, and challenges -- Chapter 22. Artificial neural network models for large-scale data -- Chapter 23. Personal data privacy and protection in the meeting, incentive, convention, and exhibition (MICE) industry -- Chapter 24. Public administration curriculum-based big data policy-analytic epistemology: symbolic IoT action-learning solution model.
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"This book present and describe the recent research and development in Big Data Analytics and the Internet of Things. It also explores recent emerging trends and technological advances of the Cloud-based Internet of Things"--Provided by publisher.
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http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-7432-3
based on 0 review(s)
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Attachments
W9371533
電子資源
11.線上閱覽_V
電子書
EB QA76.9.B45 H365 2019e
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1 records • Pages 1 •
1
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