Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
XIV, 198 p. 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. Studies in Computational Intelligence, 894. Sprache: Englisch.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Language: English
Published by Springer International Publishing AG, Cham, 2025
ISBN 10: 3031810325 ISBN 13: 9783031810329
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condition: new. Hardcover. Spatiotemporal data is not always precise, and fuzziness in spatiotemporal data is usually accepted because of the way the world is measured and represented. Although eXtensible Markup Language (XML) recommended by the World Wide Web Consortium (W3C) has become the de-facto standard for data representation and exchange on the Web, an edited collection of fuzzy spatiotemporal XML data management studies is still scarce. This book studies fuzzy XML approaches for spatiotemporal data management that can greatly enhance the utilization of this sort of data for spatiotemporal applications. The book is anticipated to serve as a valuable resource in this field and is expected to attract considerable interest from researchers and developers engaged in the applications within the domain of spatiotemporal data management. Spatiotemporal data is not always precise, and fuzziness in spatiotemporal data is usually accepted because of the way the world is measured and represented. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 212 pages. 9.25x6.10x0.43 inches. In Stock.
Seller: Revaluation Books, Exeter, United Kingdom
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Seller: Mispah books, Redhill, SURRE, United Kingdom
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Published by Springer-Nature New York Inc, 2025
ISBN 10: 3031810325 ISBN 13: 9783031810329
Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 334 pages. 9.25x6.10x9.41 inches. In Stock.
Language: English
Published by Engineering Science Reference, 2024
ISBN 10: 1668491087 ISBN 13: 9781668491089
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Published by Engineering Science Reference, 2024
ISBN 10: 1668491087 ISBN 13: 9781668491089
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Published by Engineering Science Reference, 2024
ISBN 10: 1668491087 ISBN 13: 9781668491089
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Language: English
Published by Engineering Science Reference, 2024
ISBN 10: 1668491087 ISBN 13: 9781668491089
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Published by Engineering Science Reference, 2024
ISBN 10: 1668491087 ISBN 13: 9781668491089
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Published by Engineering Science Reference, 2024
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Seller: Brook Bookstore On Demand, Napoli, NA, Italy
Condition: new. Questo è un articolo print on demand.
Language: English
Published by Springer International Publishing, 2021
ISBN 10: 3030420019 ISBN 13: 9783030420017
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Highlights the latest advances in fuzzy spatiotemporal XML data management Focuses on technologies and approaches to Web-based spatiotemporal data management with uncertainty Covers fuzzy sp.
Language: English
Published by Springer International Publishing, 2020
ISBN 10: 3030419983 ISBN 13: 9783030419981
Seller: moluna, Greven, Germany
Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Highlights the latest advances in fuzzy spatiotemporal XML data management Focuses on technologies and approaches to Web-based spatiotemporal data management with uncertainty Covers fuzzy sp.
Language: English
Published by Springer, Berlin, Springer Nature Switzerland, Springer, 2025
ISBN 10: 3031810325 ISBN 13: 9783031810329
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Spatiotemporal data is not always precise, and fuzziness in spatiotemporal data is usually accepted because of the way the world is measured and represented. Although eXtensible Markup Language (XML) recommended by the World Wide Web Consortium (W3C) has become the de-facto standard for data representation and exchange on the Web, an edited collection of fuzzy spatiotemporal XML data management studies is still scarce. This book studies fuzzy XML approaches for spatiotemporal data management that can greatly enhance the utilization of this sort of data for spatiotemporal applications. The book is anticipated to serve as a valuable resource in this field and is expected to attract considerable interest from researchers and developers engaged in the applications within the domain of spatiotemporal data management. 323 pp. Englisch.
Language: English
Published by Springer Verlag GmbH, 2025
ISBN 10: 3031810325 ISBN 13: 9783031810329
Seller: moluna, Greven, Germany
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Seller: preigu, Osnabrück, Germany
Buch. Condition: Neu. Fuzzy Spatiotemporal XML Data Management | Luyi Bai (u. a.) | Buch | xi | Englisch | 2025 | Springer | EAN 9783031810329 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In the world of data management, one of the most formidable challenges faced by academic scholars is the effective handling of spatiotemporal data within the semantic web. As our world continues to change dynamically with time, nearly every aspect of our lives, from environmental monitoring to urban planning and beyond, is intrinsically linked to time and space. This synergy has given rise to an avalanche of spatiotemporal data, and the pressing question is how to manage, model, and query this voluminous information effectively. The existing approaches often fall short in addressing the intricacies and uncertainties that come with spatiotemporal data, leaving scholars struggling to unlock its full potential. Uncertain Spatiotemporal Data Management for the Semantic Web is the definitive solution to the challenges faced by academic scholars in the realm of spatiotemporal data. This book offers a visionary approach to an all-encompassing guide in modeling and querying spatiotemporal data using innovative technologies like XML and RDF. Through a meticulously crafted set of chapters, this book sheds light on the nuances of spatiotemporal data and also provides practical solutions that empower scholars to navigate the complexities of this domain effectively.
Language: English
Published by Engineering Science Reference, 2024
ISBN 10: 1668491087 ISBN 13: 9781668491089
Seller: Biblios, Frankfurt am main, HESSE, Germany
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