Modeling Fuzzy Spatiotemporal Data with XML (Hardcover, 1st ed. 2020)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Studies in Computational Intelligence, 894
Release date:	March 2020
First published:	2020
Authors:	Zongmin Ma • Luyi Bai • Li Yan
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	198
Edition:	1st ed. 2020
ISBN-13:	978-3-03-041998-1
Categories:	Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Geographical information systems (GIS) Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Remote sensing Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	3-03-041998-3
Barcode:	9783030419981

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