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Data Management in Pervasive Systems.
Language: English
Published by Cham, Springer International Publishing., 2015
ISBN 10: 3319200615 ISBN 13: 9783319200613
Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
Association Member: GIAQ ILAB VDA
Seller rating 4 out of 5 stars
235 mm x 155 mm, 0 g. xxii, 366 pl. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Data-Centric Systems and Applications. Sprache: Englisch.
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Condition: As New. Unread book in perfect condition.
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Data Management in Pervasive Systems (Data-Centric Systems and Applications)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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£ 50.80
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Data Management in Pervasive Systems
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Condition: New.
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Data Management in Pervasive Systems
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Condition: New. pp. 380.
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Data Management in Pervasive Systems
Language: English
Published by Springer International Publishing, 2015
ISBN 10: 3319200615 ISBN 13: 9783319200613
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book contributes to illustrating the methodological and technological issues of data management in Pervasive Systems by using the DataBenc project as the running case study for a variety of research contributions: sensor data management, user-originated data operation and reasoning, multimedia data management, data analytics and reasoning for event detection and decision making, context modelling and control, automatic data and service tailoring for personalization and recommendation.The book is organized into the following main parts: i) multimedia information management; ii) sensor data streams and storage; iii) social networks as information sources; iv) context awareness and personalization. The case study is used throughout the book as a reference example.
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Data Management in Pervasive Systems
Language: English
Published by Springer International Publishing, Springer International Publishing, 2016
ISBN 10: 3319372653 ISBN 13: 9783319372655
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book contributes to illustrating the methodological and technological issues of data management in Pervasive Systems by using the DataBenc project as the running case study for a variety of research contributions: sensor data management, user-originated data operation and reasoning, multimedia data management, data analytics and reasoning for event detection and decision making, context modelling and control, automatic data and service tailoring for personalization and recommendation.The book is organized into the following main parts: i) multimedia information management; ii) sensor data streams and storage; iii) social networks as information sources; iv) context awareness and personalization. The case study is used throughout the book as a reference example.
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Paperback. Condition: Brand New. reprint edition. 366 pages. 9.25x6.10x0.88 inches. In Stock.
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Taschenbuch. Condition: Neu. Data Management in Pervasive Systems | Francesco Colace (u. a.) | Taschenbuch | Data-Centric Systems and Applications | xxii | Englisch | 2016 | Springer | EAN 9783319372655 | 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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Hardcover. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Condition: New. pp. 366.
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Ai Developments for Industrial Robotics and Intelligent Drones
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Ai Developments for Industrial Robotics and Intelligent Drones
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AI Developments for Industrial Robotics and Intelligent Drones
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Ai Developments for Industrial Robotics and Intelligent Drones
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Handbook of Research on AI and ML for Intelligent Machines and Systems
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AI Developments for Industrial Robotics and Intelligent Drones
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Handbook of Research on Ai and Ml for Intelligent Machines and Systems
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Handbook of Research on Ai and Ml for Intelligent Machines and Systems
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Handbook of Research on AI and ML for Intelligent Machines and Systems
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Add to basketHardback. Condition: New. The Handbook of Research on AI and ML for Intelligent Machines and Systems offers a comprehensive exploration of the pivotal role played by artificial intelligence (AI) and machine learning (ML) technologies in the development of intelligent machines. As the demand for intelligent machines continues to rise across various sectors, understanding the integration of these advanced technologies becomes paramount. While AI and ML have individually showcased their capabilities in developing robust intelligent machine systems and services, their fusion holds the key to propelling intelligent machines to a new realm of transformation. This handbook bridges the gap by presenting a comprehensive understanding of this fusion and its implications for the field. This book delves into the world of intelligent machines, revealing how they interact autonomously with their environment and adapt seamlessly to new situations. By harnessing the power of AI and ML, these smart devices can accomplish complex tasks such as traffic monitoring, speech recognition, face recognition, and automatic manufacturing, significantly enhancing operational efficiency. By compiling recent advancements in intelligent machines that rely on machine learning and deep learning technologies, this book serves as a vital resource for researchers, graduate students, PhD scholars, faculty members, scientists, and software developers. It offers valuable insights into the key concepts of AI and ML, covering essential security aspects, current trends, and often overlooked perspectives that are crucial for achieving comprehensive understanding. It not only explores the theoretical foundations of AI and ML but also provides guidance on applying these techniques to solve real-world problems. Unlike traditional texts, it offers flexibility through its distinctive module-based structure, allowing readers to follow their own learning paths.
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£ 374.76
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Add to basketHardback. Condition: New. The Handbook of Research on AI and ML for Intelligent Machines and Systems offers a comprehensive exploration of the pivotal role played by artificial intelligence (AI) and machine learning (ML) technologies in the development of intelligent machines. As the demand for intelligent machines continues to rise across various sectors, understanding the integration of these advanced technologies becomes paramount. While AI and ML have individually showcased their capabilities in developing robust intelligent machine systems and services, their fusion holds the key to propelling intelligent machines to a new realm of transformation. This handbook bridges the gap by presenting a comprehensive understanding of this fusion and its implications for the field. This book delves into the world of intelligent machines, revealing how they interact autonomously with their environment and adapt seamlessly to new situations. By harnessing the power of AI and ML, these smart devices can accomplish complex tasks such as traffic monitoring, speech recognition, face recognition, and automatic manufacturing, significantly enhancing operational efficiency. By compiling recent advancements in intelligent machines that rely on machine learning and deep learning technologies, this book serves as a vital resource for researchers, graduate students, PhD scholars, faculty members, scientists, and software developers. It offers valuable insights into the key concepts of AI and ML, covering essential security aspects, current trends, and often overlooked perspectives that are crucial for achieving comprehensive understanding. It not only explores the theoretical foundations of AI and ML but also provides guidance on applying these techniques to solve real-world problems. Unlike traditional texts, it offers flexibility through its distinctive module-based structure, allowing readers to follow their own learning paths.
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Data Management in Pervasive Systems
Language: English
Published by Springer International Publishing Okt 2015, 2015
ISBN 10: 3319200615 ISBN 13: 9783319200613
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book contributes to illustrating the methodological and technological issues of data management in Pervasive Systems by using the DataBenc project as the running case study for a variety of research contributions: sensor data management, user-originated data operation and reasoning, multimedia data management, data analytics and reasoning for event detection and decision making, context modelling and control, automatic data and service tailoring for personalization and recommendation.The book is organized into the following main parts: i) multimedia information management; ii) sensor data streams and storage; iii) social networks as information sources; iv) context awareness and personalization. The case study is used throughout the book as a reference example. 388 pp. Englisch.
