Modeling Fuzzy Spatiotemporal Data with XML

Lieferzeit: Lieferbar innerhalb 14 Tagen

160,49 

Studies in Computational Intelligence 894

ISBN: 3030419983
ISBN 13: 9783030419981
Autor: Ma, Zongmin/Bai, Luyi/Yan, Li
Verlag: Springer Verlag GmbH
Umfang: xiv, 198 S., 82 s/w Illustr., 24 farbige Illustr., 198 p. 106 illus., 24 illus. in color.
Erscheinungsdatum: 05.03.2020
Auflage: 1/2020
Produktform: Gebunden/Hardback
Einband: Gebunden

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.

Artikelnummer: 8567724 Kategorie:

Beschreibung

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. 

Herstellerkennzeichnung:


Springer Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

E-Mail: juergen.hartmann@springer.com

Das könnte Ihnen auch gefallen …