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Modeling Fuzzy Spatiotemporal Data with XML (Hardcover, 1st ed. 2020): Zongmin Ma, Luyi Bai, Li Yan Modeling Fuzzy Spatiotemporal Data with XML (Hardcover, 1st ed. 2020)
Zongmin Ma, Luyi Bai, Li Yan
R4,018 Discovery Miles 40 180 Ships in 18 - 22 working days

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.

Modeling Fuzzy Spatiotemporal Data with XML (Paperback, 1st ed. 2020): Zongmin Ma, Luyi Bai, Li Yan Modeling Fuzzy Spatiotemporal Data with XML (Paperback, 1st ed. 2020)
Zongmin Ma, Luyi Bai, Li Yan
R4,011 Discovery Miles 40 110 Ships in 18 - 22 working days

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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