Editore: The Institution of Engineering and Technology, 2022
ISBN 10: 1839534885 ISBN 13: 9781839534881
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 112,97
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Editore: The Institution of Engineering and Technology, 2022
ISBN 10: 1839534885 ISBN 13: 9781839534881
Lingua: Inglese
Da: Best Price, Torrance, CA, U.S.A.
EUR 108,30
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Editore: The Institution of Engineering and Technology, 2022
ISBN 10: 1839534885 ISBN 13: 9781839534881
Lingua: Inglese
Da: California Books, Miami, FL, U.S.A.
EUR 130,40
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Editore: Institution of Engineering and Technology, GB, 2022
ISBN 10: 1839534885 ISBN 13: 9781839534881
Lingua: Inglese
Da: Rarewaves USA, OSWEGO, IL, U.S.A.
EUR 141,44
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Aggiungi al carrelloHardback. Condizione: New. With the growing maturity and stability of digitization and edge technologies, vast numbers of digital entities, connected devices, and microservices interact purposefully to create huge sets of poly-structured digital data. Corporations are continuously seeking fresh ways to use their data to drive business innovations and disruptions to bring in real digital transformation. Data science (DS) is proving to be the one-stop solution for simplifying the process of knowledge discovery and dissemination out of massive amounts of multi-structured data. Supported by query languages, databases, algorithms, platforms, analytics methods and machine and deep learning (ML and DL) algorithms, graphs are now emerging as a new data structure for optimally representing a variety of data and their intimate relationships. Compared to traditional analytics methods, the connectedness of data points in graph analytics facilitates the identification of clusters of related data points based on levels of influence, association, interaction frequency and probability. Graph analytics is being empowered through a host of path-breaking analytics techniques to explore and pinpoint beneficial relationships between different entities such as organizations, people and transactions. This edited book aims to explain the various aspects and importance of graph data science. The authors from both academia and industry cover algorithms, analytics methods, platforms and databases that are intrinsically capable of creating business value by intelligently leveraging connected data. This book will be a valuable reference for ICTs industry and academic researchers, scientists and engineers, and lecturers and advanced students in the fields of data analytics, data science, cloud/fog/edge architecture, internet of things, artificial intelligence/machine and deep learning, and related fields of applications. It will also be of interest to analytics professionals in industry and IT operations teams.
Editore: Institution of Engineering and Technology, GB, 2022
ISBN 10: 1839534885 ISBN 13: 9781839534881
Lingua: Inglese
Da: Rarewaves USA United, OSWEGO, IL, U.S.A.
EUR 145,33
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Aggiungi al carrelloHardback. Condizione: New. With the growing maturity and stability of digitization and edge technologies, vast numbers of digital entities, connected devices, and microservices interact purposefully to create huge sets of poly-structured digital data. Corporations are continuously seeking fresh ways to use their data to drive business innovations and disruptions to bring in real digital transformation. Data science (DS) is proving to be the one-stop solution for simplifying the process of knowledge discovery and dissemination out of massive amounts of multi-structured data. Supported by query languages, databases, algorithms, platforms, analytics methods and machine and deep learning (ML and DL) algorithms, graphs are now emerging as a new data structure for optimally representing a variety of data and their intimate relationships. Compared to traditional analytics methods, the connectedness of data points in graph analytics facilitates the identification of clusters of related data points based on levels of influence, association, interaction frequency and probability. Graph analytics is being empowered through a host of path-breaking analytics techniques to explore and pinpoint beneficial relationships between different entities such as organizations, people and transactions. This edited book aims to explain the various aspects and importance of graph data science. The authors from both academia and industry cover algorithms, analytics methods, platforms and databases that are intrinsically capable of creating business value by intelligently leveraging connected data. This book will be a valuable reference for ICTs industry and academic researchers, scientists and engineers, and lecturers and advanced students in the fields of data analytics, data science, cloud/fog/edge architecture, internet of things, artificial intelligence/machine and deep learning, and related fields of applications. It will also be of interest to analytics professionals in industry and IT operations teams.
Editore: The Institution of Engineering and Technology, 2022
ISBN 10: 1839534885 ISBN 13: 9781839534881
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 134,62
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Editore: The Institution of Engineering and Technology, 2022
ISBN 10: 1839534885 ISBN 13: 9781839534881
Lingua: Inglese
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 138,28
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Editore: The Institution of Engineering and Technology, 2022
ISBN 10: 1839534885 ISBN 13: 9781839534881
Lingua: Inglese
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 147,24
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Editore: The Institution of Engineering and Technology, 2022
ISBN 10: 1839534885 ISBN 13: 9781839534881
Lingua: Inglese
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 141,78
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Editore: INSTITUTION OF ENGINEERING & T, 2022
ISBN 10: 1839534885 ISBN 13: 9781839534881
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 167,87
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Aggiungi al carrelloCondizione: New. KlappentextGraph analytics are being empowered through novel analytics techniques to explore and pinpoint beneficial relationships between different entities such as organizations, people and transactions. This edited book presents th.
Editore: Inst of Engineering & Technology, 2022
ISBN 10: 1839534885 ISBN 13: 9781839534881
Lingua: Inglese
Da: Revaluation Books, Exeter, Regno Unito
EUR 174,23
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Aggiungi al carrelloHardcover. Condizione: Brand New. 350 pages. 9.21x6.14x1.00 inches. In Stock.
Editore: Institution Of Engineering & Technology Nov 2022, 2022
ISBN 10: 1839534885 ISBN 13: 9781839534881
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 184,18
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Aggiungi al carrelloBuch. Condizione: Neu. Neuware - Graph analytics are being empowered through novel analytics techniques to explore and pinpoint beneficial relationships between different entities such as organizations, people and transactions. This edited book presents the various aspects and importance of graph data science, with contributions by authors from academia and industry.
Editore: Institution of Engineering and Technology, 2022
ISBN 10: 1839534885 ISBN 13: 9781839534881
Lingua: Inglese
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 154,02
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Aggiungi al carrelloHRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Editore: Institution of Engineering and Technology, 2022
ISBN 10: 1839534885 ISBN 13: 9781839534881
Lingua: Inglese
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 159,54
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Editore: Institution of Engineering and Technology, 2022
ISBN 10: 1839534885 ISBN 13: 9781839534881
Lingua: Inglese
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 156,63
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Aggiungi al carrelloHardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 185.