Exploring the convergence of big data and the Internet of things:
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 o...
Saved in:
| Other Authors: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA)
IGI Global
[2017]
|
| Subjects: | |
| Online Access: | DE-863 |
| Summary: | 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. |
| Physical Description: | 26 PDFs (xix, 332 Seiten) : color illustrations Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781522529484 |
| Access: | Restricted to subscribers or individual electronic text purchasers. |
Staff View
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| 245 | 0 | 0 | |a Exploring the convergence of big data and the Internet of things |c A.V. Krishna Prasad, editor. |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) |b IGI Global |c [2017] | |
| 264 | 4 | |c c2018 | |
| 300 | |a 26 PDFs (xix, 332 Seiten) : |b color illustrations | ||
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| 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. | ||
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | 0 | |a Description based on title screen (IGI Global, viewed 08/15/2017). | |
| 650 | 0 | |a Big data. | |
| 650 | 0 | |a Convergence (Telecommunication) | |
| 650 | 0 | |a Internet of things. | |
| 653 | |a Aquaculture. | ||
| 653 | |a Cloud Computing. | ||
| 653 | |a Customer Relationship Management. | ||
| 653 | |a Fog Computing. | ||
| 653 | |a Mobile Commerce. | ||
| 653 | |a Smart Cities. | ||
| 653 | |a Speech Recognition Systems. | ||
| 653 | |a Supply Chain. | ||
| 700 | 1 | |a Prasad, A. V. Kirshna |d 1974- |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
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| 912 | |a ZDB-98-IGB | ||
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| contents | 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. |
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| isbn | 9781522529484 |
| language | English |
| oclc_num | 1001357345 |
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| spelling | Exploring the convergence of big data and the Internet of things A.V. Krishna Prasad, editor. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) IGI Global [2017] c2018 26 PDFs (xix, 332 Seiten) : color illustrations text rdacontent electronic isbdmedia online resource rdacarrier 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. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 08/15/2017). Big data. Convergence (Telecommunication) Internet of things. Aquaculture. Cloud Computing. Customer Relationship Management. Fog Computing. Mobile Commerce. Smart Cities. Speech Recognition Systems. Supply Chain. Prasad, A. V. Kirshna 1974- editor. IGI Global, publisher. Print version: 1522529470 9781522529477 |
| spellingShingle | Exploring the convergence of big data and the Internet of things 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. Big data. Convergence (Telecommunication) Internet of things. |
| title | Exploring the convergence of big data and the Internet of things |
| title_auth | Exploring the convergence of big data and the Internet of things |
| title_exact_search | Exploring the convergence of big data and the Internet of things |
| title_full | Exploring the convergence of big data and the Internet of things A.V. Krishna Prasad, editor. |
| title_fullStr | Exploring the convergence of big data and the Internet of things A.V. Krishna Prasad, editor. |
| title_full_unstemmed | Exploring the convergence of big data and the Internet of things A.V. Krishna Prasad, editor. |
| title_short | Exploring the convergence of big data and the Internet of things |
| title_sort | exploring the convergence of big data and the internet of things |
| topic | Big data. Convergence (Telecommunication) Internet of things. |
| topic_facet | Big data. Convergence (Telecommunication) Internet of things. |
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