Handbook of research on cloud and fog computing infrastructures for data science:
"This book explores cloud and fog/edge infrastructures for achieving next-generation data science functionalities and facilities. It also focuses on cloud infrastructures (public, private and hybrid) and edge/fog infrastructures that facilitate the formation and sustenance of device clouds in o...
Saved in:
| Other Authors: | , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA)
IGI Global
[2018]
|
| Subjects: | |
| Online Access: | DE-862 DE-863 |
| Summary: | "This book explores cloud and fog/edge infrastructures for achieving next-generation data science functionalities and facilities. It also focuses on cloud infrastructures (public, private and hybrid) and edge/fog infrastructures that facilitate the formation and sustenance of device clouds in order to have powerful data science facility in place"-- |
| Physical Description: | 24 PDFs (xx, 440 Seiten) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781522559733 |
| Access: | Restricted to subscribers or individual electronic text purchasers. |
Staff View
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| 245 | 0 | 0 | |a Handbook of research on cloud and fog computing infrastructures for data science |c Pethuru Raj and Anupama Raman, editors. |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) |b IGI Global |c [2018] | |
| 300 | |a 24 PDFs (xx, 440 Seiten) | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a electronic |2 isbdmedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Chapter 1. Expounding the edge/fog computing infrastructures for data science -- Chapter 2. Evolution of fog computing and its role in IoT applications -- Chapter 3. Fog computing and virtualization -- Chapter 4. Fog computing: introduction, architecture, analytics, and platforms -- Chapter 5. A comprehensive survey of IoT edge/fog computing protocols -- Chapter 6. Software-defined cloud infrastructure -- Chapter 7. Internet of things (IoT): a study on key elements, protocols, application, research challenges, and fog computing -- Chapter 8. Internet of things (IoT) technologies, architecture, protocols, security, and applications: a Survey -- Chapter 9. Fuzzy-logic-based decision engine for offloading IoT application using fog computing -- Chapter 10. Data mining algorithms and techniques -- Chapter 11. Machine learning -- Chapter 12. Data mining algorithms, fog computing -- Chapter 13. Remote elderly health monitoring system using cloud-based WBANS -- Chapter 14. Internet of things and smart city initiatives in Middle Eastern Countries -- Chapter 15. Comparison study of different NoSQL and cloud paradigm for better data storage technology -- Chapter 16. Fast data vs. big data with IoT streaming analytics and the future applications -- Chapter 17. Voice biometrics: the promising future of authentication in the Internet of things -- Chapter 18. Text, images, and video analytics for fog computing. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "This book explores cloud and fog/edge infrastructures for achieving next-generation data science functionalities and facilities. It also focuses on cloud infrastructures (public, private and hybrid) and edge/fog infrastructures that facilitate the formation and sustenance of device clouds in order to have powerful data science facility in place"-- |c Provided by publisher. | |
| 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 04/25/2018). | |
| 650 | 0 | |a Cloud computing |v Handbooks, manuals, etc. | |
| 653 | |a Artificial Intelligence. | ||
| 653 | |a Cognitive Analytics. | ||
| 653 | |a Data Mining Algorithms. | ||
| 653 | |a Deep Learning Algorithms. | ||
| 653 | |a Fog Infrastructures. | ||
| 653 | |a Internet of Things. | ||
| 653 | |a Machine Learning Algorithms. | ||
| 653 | |a Natural Language Processing. | ||
| 653 | |a Neural Networks. | ||
| 653 | |a Predictive Analytics. | ||
| 700 | 1 | |a Raj, Pethuru |e editor. | |
| 700 | 1 | |a Raman, Anupama C. |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
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| contents | Chapter 1. Expounding the edge/fog computing infrastructures for data science -- Chapter 2. Evolution of fog computing and its role in IoT applications -- Chapter 3. Fog computing and virtualization -- Chapter 4. Fog computing: introduction, architecture, analytics, and platforms -- Chapter 5. A comprehensive survey of IoT edge/fog computing protocols -- Chapter 6. Software-defined cloud infrastructure -- Chapter 7. Internet of things (IoT): a study on key elements, protocols, application, research challenges, and fog computing -- Chapter 8. Internet of things (IoT) technologies, architecture, protocols, security, and applications: a Survey -- Chapter 9. Fuzzy-logic-based decision engine for offloading IoT application using fog computing -- Chapter 10. Data mining algorithms and techniques -- Chapter 11. Machine learning -- Chapter 12. Data mining algorithms, fog computing -- Chapter 13. Remote elderly health monitoring system using cloud-based WBANS -- Chapter 14. Internet of things and smart city initiatives in Middle Eastern Countries -- Chapter 15. Comparison study of different NoSQL and cloud paradigm for better data storage technology -- Chapter 16. Fast data vs. big data with IoT streaming analytics and the future applications -- Chapter 17. Voice biometrics: the promising future of authentication in the Internet of things -- Chapter 18. Text, images, and video analytics for fog computing. |
| ctrlnum | (CaBNVSL)slc20206545 (OCoLC)1032774970 |
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| discipline | Informatik |
| format | Electronic eBook |
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| id | ZDB-98-IGB-00195034 |
| illustrated | Not Illustrated |
| indexdate | 2025-03-18T14:30:30Z |
| institution | BVB |
| isbn | 9781522559733 |
| language | English |
| oclc_num | 1032774970 |
| open_access_boolean | |
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| owner_facet | DE-862 DE-BY-FWS DE-863 DE-BY-FWS |
| physical | 24 PDFs (xx, 440 Seiten) Also available in print. |
| psigel | ZDB-98-IGB FWS_PDA_IGB ZDB-98-IGB |
| publishDate | 2018 |
| publishDateSearch | 2018 |
| publishDateSort | 2018 |
| publisher | IGI Global |
| record_format | marc |
| spelling | Handbook of research on cloud and fog computing infrastructures for data science Pethuru Raj and Anupama Raman, editors. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) IGI Global [2018] 24 PDFs (xx, 440 Seiten) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Chapter 1. Expounding the edge/fog computing infrastructures for data science -- Chapter 2. Evolution of fog computing and its role in IoT applications -- Chapter 3. Fog computing and virtualization -- Chapter 4. Fog computing: introduction, architecture, analytics, and platforms -- Chapter 5. A comprehensive survey of IoT edge/fog computing protocols -- Chapter 6. Software-defined cloud infrastructure -- Chapter 7. Internet of things (IoT): a study on key elements, protocols, application, research challenges, and fog computing -- Chapter 8. Internet of things (IoT) technologies, architecture, protocols, security, and applications: a Survey -- Chapter 9. Fuzzy-logic-based decision engine for offloading IoT application using fog computing -- Chapter 10. Data mining algorithms and techniques -- Chapter 11. Machine learning -- Chapter 12. Data mining algorithms, fog computing -- Chapter 13. Remote elderly health monitoring system using cloud-based WBANS -- Chapter 14. Internet of things and smart city initiatives in Middle Eastern Countries -- Chapter 15. Comparison study of different NoSQL and cloud paradigm for better data storage technology -- Chapter 16. Fast data vs. big data with IoT streaming analytics and the future applications -- Chapter 17. Voice biometrics: the promising future of authentication in the Internet of things -- Chapter 18. Text, images, and video analytics for fog computing. Restricted to subscribers or individual electronic text purchasers. "This book explores cloud and fog/edge infrastructures for achieving next-generation data science functionalities and facilities. It also focuses on cloud infrastructures (public, private and hybrid) and edge/fog infrastructures that facilitate the formation and sustenance of device clouds in order to have powerful data science facility in place"-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 04/25/2018). Cloud computing Handbooks, manuals, etc. Artificial Intelligence. Cognitive Analytics. Data Mining Algorithms. Deep Learning Algorithms. Fog Infrastructures. Internet of Things. Machine Learning Algorithms. Natural Language Processing. Neural Networks. Predictive Analytics. Raj, Pethuru editor. Raman, Anupama C. editor. IGI Global, publisher. (Original) (DLC)2017059194 Print version: 1522559728 9781522559726 (DLC) 2017059194 |
| spellingShingle | Handbook of research on cloud and fog computing infrastructures for data science Chapter 1. Expounding the edge/fog computing infrastructures for data science -- Chapter 2. Evolution of fog computing and its role in IoT applications -- Chapter 3. Fog computing and virtualization -- Chapter 4. Fog computing: introduction, architecture, analytics, and platforms -- Chapter 5. A comprehensive survey of IoT edge/fog computing protocols -- Chapter 6. Software-defined cloud infrastructure -- Chapter 7. Internet of things (IoT): a study on key elements, protocols, application, research challenges, and fog computing -- Chapter 8. Internet of things (IoT) technologies, architecture, protocols, security, and applications: a Survey -- Chapter 9. Fuzzy-logic-based decision engine for offloading IoT application using fog computing -- Chapter 10. Data mining algorithms and techniques -- Chapter 11. Machine learning -- Chapter 12. Data mining algorithms, fog computing -- Chapter 13. Remote elderly health monitoring system using cloud-based WBANS -- Chapter 14. Internet of things and smart city initiatives in Middle Eastern Countries -- Chapter 15. Comparison study of different NoSQL and cloud paradigm for better data storage technology -- Chapter 16. Fast data vs. big data with IoT streaming analytics and the future applications -- Chapter 17. Voice biometrics: the promising future of authentication in the Internet of things -- Chapter 18. Text, images, and video analytics for fog computing. Cloud computing Handbooks, manuals, etc. |
| title | Handbook of research on cloud and fog computing infrastructures for data science |
| title_auth | Handbook of research on cloud and fog computing infrastructures for data science |
| title_exact_search | Handbook of research on cloud and fog computing infrastructures for data science |
| title_full | Handbook of research on cloud and fog computing infrastructures for data science Pethuru Raj and Anupama Raman, editors. |
| title_fullStr | Handbook of research on cloud and fog computing infrastructures for data science Pethuru Raj and Anupama Raman, editors. |
| title_full_unstemmed | Handbook of research on cloud and fog computing infrastructures for data science Pethuru Raj and Anupama Raman, editors. |
| title_short | Handbook of research on cloud and fog computing infrastructures for data science |
| title_sort | handbook of research on cloud and fog computing infrastructures for data science |
| topic | Cloud computing Handbooks, manuals, etc. |
| topic_facet | Cloud computing Handbooks, manuals, etc. |
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