Modeling Fuzzy Spatiotemporal Data with XML (Studies in Computational Intelligence, 894, Band 894) - Hardcover

Buch 392 von 538: Studies in Computational Intelligence

Ma, Zongmin; Bai, Luyi; Yan, Li

 
9783030419981: Modeling Fuzzy Spatiotemporal Data with XML (Studies in Computational Intelligence, 894, Band 894)
Hardcover
ISBN 10: 3030419983 ISBN 13: 9783030419981
Verlag: Springer, 2020

Inhaltsangabe

This book offers in-depth insights into the rapidly growing topic of technologies and approaches to modeling fuzzy spatiotemporal data with XML. The topics covered include representation of fuzzy spatiotemporal XML data, topological relationship determination for fuzzy spatiotemporal XML data, mapping between the fuzzy spatiotemporal relational database model and fuzzy spatiotemporal XML data model, and consistencies in fuzzy spatiotemporal XML data updating. Offering a comprehensive guide to the latest research on fuzzy spatiotemporal XML data management, the book is intended to provide state-of-the-art information for researchers, practitioners, and graduate students of Web intelligence, as well as data and knowledge engineering professionals confronted with non-traditional applications that make the use of conventional approaches difficult or impossible. 

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Von der hinteren Coverseite

This book offers in-depth insights into the rapidly growing topic of technologies and approaches to modeling fuzzy spatiotemporal data with XML. The topics covered include representation of fuzzy spatiotemporal XML data, topological relationship determination for fuzzy spatiotemporal XML data, mapping between the fuzzy spatiotemporal relational database model and fuzzy spatiotemporal XML data model, and consistencies in fuzzy spatiotemporal XML data updating. Offering a comprehensive guide to the latest research on fuzzy spatiotemporal XML data management, the book is intended to provide state-of-the-art information for researchers, practitioners, and graduate students of Web intelligence, as well as data and knowledge engineering professionals confronted with non-traditional applications that make the use of conventional approaches difficult or impossible. 

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Verlag
Springer
Erscheinungsdatum
2020
Sprache
Englisch
ISBN 10 
3030419983
ISBN 13 
9783030419981
Einband
Gebundene Ausgabe
Auflage
1
Anzahl der Seiten
212
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Vorgestellte Ausgabe

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Softcover