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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Paperback. Condition: Brand New. 2012 edition. 122 pages. 9.00x6.00x0.25 inches. In Stock.
Language: English
Published by Springer Berlin Heidelberg, 2012
ISBN 10: 364232343X ISBN 13: 9783642323430
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the 5th International Conference on Data Management in Grid and Peer-to-Peer Systems, Globe 2012, held in Vienna, Austria, in September 2012 in conjunction with DEXA 2012.The 9 revised full papers presented were carefully reviewed and selected from 15 submissions. The papers are organized in topical sections on data management in the cloud, cloud MapReduce and performance evaluation, and data stream systems and distributed data mining.
Condition: New. pp. 124.
Taschenbuch. Condition: Neu. Data Mangement in Cloud, Grid and P2P Systems | 5th International Conference, Globe 2012, Vienna, Austria, September 5-6, 2012, Proceedings | Abdelkader Hameurlain (u. a.) | Taschenbuch | ix | Englisch | 2012 | Springer | EAN 9783642323430 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Condition: New. pp. 316.
Condition: New. 1st ed. 2018 edition NO-PA16APR2015-KAP.
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Language: English
Published by The Institution of Engineering and Technology, 2022
ISBN 10: 1839533390 ISBN 13: 9781839533396
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Language: English
Published by The Institution of Engineering and Technology, 2022
ISBN 10: 1839533390 ISBN 13: 9781839533396
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Published by The Institution of Engineering and Technology, 2022
ISBN 10: 1839533390 ISBN 13: 9781839533396
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Language: English
Published by Institution of Engineering and Technology, GB, 2022
ISBN 10: 1839533390 ISBN 13: 9781839533396
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Hardback. Condition: New. Internet of Things (IoTs) are now being integrated at a large scale in fast-developing applications such as healthcare, transportation, education, finance, insurance and retail. The next generation of automated applications will command machines to do tasks better and more efficiently. Both industry and academic researchers are looking at transforming applications using machine learning and deep learning to build better models and by taking advantage of the decentralized nature of Blockchain. But the advent of these new technologies also brings very high expectations to industries, organisations and users. The decrease of computing costs, the improvement of data integrity in Blockchain, and the verification of transactions using Machine Learning are becoming essential goals. This edited book covers the challenges, opportunities, innovations, new concepts and emerging trends related to the use of machine learning, Blockchain and Big Data analytics for IoTs. The book is aimed at a broad audience of ICTs, data science, machine learning and cybersecurity researchers interested in the integration of these disruptive technologies and their applications for IoTs.
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Published by The Institution of Engineering and Technology, 2022
ISBN 10: 1839533390 ISBN 13: 9781839533396
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Published by The Institution of Engineering and Technology, 2022
ISBN 10: 1839533390 ISBN 13: 9781839533396
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Published by Institution of Engineering and Technology, GB, 2022
ISBN 10: 1839533390 ISBN 13: 9781839533396
Seller: Rarewaves USA United, OSWEGO, IL, U.S.A.
Hardback. Condition: New. Internet of Things (IoTs) are now being integrated at a large scale in fast-developing applications such as healthcare, transportation, education, finance, insurance and retail. The next generation of automated applications will command machines to do tasks better and more efficiently. Both industry and academic researchers are looking at transforming applications using machine learning and deep learning to build better models and by taking advantage of the decentralized nature of Blockchain. But the advent of these new technologies also brings very high expectations to industries, organisations and users. The decrease of computing costs, the improvement of data integrity in Blockchain, and the verification of transactions using Machine Learning are becoming essential goals. This edited book covers the challenges, opportunities, innovations, new concepts and emerging trends related to the use of machine learning, Blockchain and Big Data analytics for IoTs. The book is aimed at a broad audience of ICTs, data science, machine learning and cybersecurity researchers interested in the integration of these disruptive technologies and their applications for IoTs.
Language: English
Published by Inst of Engineering & Technology, 2022
ISBN 10: 1839533390 ISBN 13: 9781839533396
Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 639 pages. 9.50x6.50x1.25 inches. In Stock.
Language: English
Published by Institution of Engineering and Technology, GB, 2022
ISBN 10: 1839533390 ISBN 13: 9781839533396
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Add to basketHardback. Condition: New. Internet of Things (IoTs) are now being integrated at a large scale in fast-developing applications such as healthcare, transportation, education, finance, insurance and retail. The next generation of automated applications will command machines to do tasks better and more efficiently. Both industry and academic researchers are looking at transforming applications using machine learning and deep learning to build better models and by taking advantage of the decentralized nature of Blockchain. But the advent of these new technologies also brings very high expectations to industries, organisations and users. The decrease of computing costs, the improvement of data integrity in Blockchain, and the verification of transactions using Machine Learning are becoming essential goals. This edited book covers the challenges, opportunities, innovations, new concepts and emerging trends related to the use of machine learning, Blockchain and Big Data analytics for IoTs. The book is aimed at a broad audience of ICTs, data science, machine learning and cybersecurity researchers interested in the integration of these disruptive technologies and their applications for IoTs.