Published by The Institution of Engineering and Technology, 2022
ISBN 10: 1839534885 ISBN 13: 9781839534881
Language: English
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Published by The Institution of Engineering and Technology, 2022
ISBN 10: 1839534885 ISBN 13: 9781839534881
Language: English
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Published by The Institution of Engineering and Technology, 2022
ISBN 10: 1839534885 ISBN 13: 9781839534881
Language: English
Seller: California Books, Miami, FL, U.S.A.
Condition: New.
Published by The Institution of Engineering and Technology, 2022
ISBN 10: 1839534885 ISBN 13: 9781839534881
Language: English
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Published by Institution of Engineering and Technology, GB, 2022
ISBN 10: 1839534885 ISBN 13: 9781839534881
Language: English
Seller: Rarewaves USA, OSWEGO, IL, U.S.A.
Hardback. Condition: 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.
Published by The Institution of Engineering and Technology, 2022
ISBN 10: 1839534885 ISBN 13: 9781839534881
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Published by The Institution of Engineering and Technology, 2022
ISBN 10: 1839534885 ISBN 13: 9781839534881
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
£ 119.38
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Published by The Institution of Engineering and Technology, 2022
ISBN 10: 1839534885 ISBN 13: 9781839534881
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Published by Institution of Engineering and Technology, GB, 2022
ISBN 10: 1839534885 ISBN 13: 9781839534881
Language: English
Seller: Rarewaves USA United, OSWEGO, IL, U.S.A.
Hardback. Condition: 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.
Published by Inst of Engineering & Technology, 2022
ISBN 10: 1839534885 ISBN 13: 9781839534881
Language: English
Seller: Revaluation Books, Exeter, United Kingdom
£ 146.66
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Add to basketHardcover. Condition: Brand New. 350 pages. 9.21x6.14x1.00 inches. In Stock.
Published by INSTITUTION OF ENGINEERING & T, 2022
ISBN 10: 1839534885 ISBN 13: 9781839534881
Language: English
Seller: moluna, Greven, Germany
£ 149.68
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Add to basketCondition: 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.
Published by Institution Of Engineering & Technology Nov 2022, 2022
ISBN 10: 1839534885 ISBN 13: 9781839534881
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
£ 164.22
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Add to basketBuch. Condition: 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.
Published by Institution of Engineering and Technology, 2022
ISBN 10: 1839534885 ISBN 13: 9781839534881
Language: English
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Published by Institution of Engineering and Technology, 2022
ISBN 10: 1839534885 ISBN 13: 9781839534881
Language: English
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
£ 129.85
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Add to basketHRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Published by Institution of Engineering and Technology, 2022
ISBN 10: 1839534885 ISBN 13: 9781839534881
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
£ 131.78
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Add to basketHardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 185.