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paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Condition: As New. Unread book in perfect condition.
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Condition: New. pages cm First edition Includes bibliographical references.
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Big Data Analytics in Fog-Enabled IoT Networks: Towards a Privacy and Security Perspective
Language: English
Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032206454 ISBN 13: 9781032206455
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Big Data Analytics in Fog-enabled Iot Networks : Towards a Privacy and Security Perspective
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Big Data Analytics in Fog-Enabled IoT Networks
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Big Data Analytics in Fog-enabled Iot Networks : Towards a Privacy and Security Perspective
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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US$ 104.66
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Add to basketPaperback. Condition: Brand New. 232 pages. 9.18x6.12x9.21 inches. In Stock.
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Fog Data Analytics for IoT Applications: Next Generation Process Model with State of the Art Technologies (Studies in Big Data, 76)
Book 74 of 108: Studies in Big DataSeller: Ria Christie Collections, Uxbridge, United Kingdom
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Big Data Analytics in Fog-Enabled IoT Networks: Towards a Privacy and Security Perspective
Language: English
Published by Taylor & Francis Ltd, 2023
ISBN 10: 1032206446 ISBN 13: 9781032206448
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Big Data Analytics in Fog-Enabled IoT Networks : Towards a Privacy and Security Perspective
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Big Data Analytics in Fog-Enabled IoT Networks : Towards a Privacy and Security Perspective
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Big Data Analytics in Fog-Enabled IoT Networks
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Condition: New. 1st ed. 2020 edition NO-PA16APR2015-KAP.
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Fog Data Analytics for IoT Applications
Book 74 of 108: Studies in Big DataLanguage: English
Published by Springer Nature Singapore, Springer Nature Singapore Aug 2021, 2021
ISBN 10: 9811560463 ISBN 13: 9789811560460
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Taschenbuch. Condition: Neu. Neuware -This book discusses the unique nature and complexity of fog data analytics (FDA) and develops a comprehensive taxonomy abstracted into a process model. The exponential increase in sensors and smart gadgets (collectively referred as smart devices or Internet of things (IoT) devices) has generated significant amount of heterogeneous and multimodal data, known as big data. To deal with this big data, we require efficient and effective solutions, such as data mining, data analytics and reduction to be deployed at the edge of fog devices on a cloud. Current research and development efforts generally focus on big data analytics and overlook the difficulty of facilitating fog data analytics (FDA). This book presents a model that addresses various research challenges, such as accessibility, scalability, fog nodes communication, nodal collaboration, heterogeneity, reliability, and quality of service (QoS) requirements, and includes case studies demonstrating its implementation. Focusing on FDAin IoT and requirements related to Industry 4.0, it also covers all aspects required to manage the complexity of FDA for IoT applications and also develops a comprehensive taxonomy.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 516 pp. Englisch.
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Fog Data Analytics for Iot Applications: Next Generation Process Model With State of the Art Technologies
Book 74 of 108: Studies in Big DataUS$ 228.83
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Add to basketPaperback. Condition: Brand New. 512 pages. 9.25x6.10x1.04 inches. In Stock.
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Fog Data Analytics for IoT Applications : Next Generation Process Model with State of the Art Technologies
Book 74 of 108: Studies in Big DataLanguage: English
Published by Springer Nature Singapore, Springer Nature Singapore, 2021
ISBN 10: 9811560463 ISBN 13: 9789811560460
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book discusses the unique nature and complexity of fog data analytics (FDA) and develops a comprehensive taxonomy abstracted into a process model. The exponential increase in sensors and smart gadgets (collectively referred as smart devices or Internet of things (IoT) devices) has generated significant amount of heterogeneous and multimodal data, known as big data. To deal with this big data, we require efficient and effective solutions, such as data mining, data analytics and reduction to be deployed at the edge of fog devices on a cloud. Current research and development efforts generally focus on big data analytics and overlook the difficulty of facilitating fog data analytics (FDA). This book presents a model that addresses various research challenges, such as accessibility, scalability, fog nodes communication, nodal collaboration, heterogeneity, reliability, and quality of service (QoS) requirements, and includes case studies demonstrating its implementation. Focusing on FDAin IoT and requirements related to Industry 4.0, it also covers all aspects required to manage the complexity of FDA for IoT applications and also develops a comprehensive taxonomy.
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Fog Data Analytics for IoT Applications: Next Generation Process Model with State of the Art Technologies (Studies in Big Data, 76)
Book 74 of 108: Studies in Big DataSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
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Add to basketCondition: New. In.
