Modeling Fuzzy Spatiotemporal Data with XML / by Zongmin Ma, Luyi Bai, Li Yan.
By: Ma, Zongmin, autor.
Contributor(s): SpringerLink (Online service) | Bai, Luyi, autor. | Yang, Li, autor.
Material type: 
E-bookSeries: (Studies in Computational Intelligence, 1860-949X; 894); (Intelligent Technologies and Robotics (Springer-42732)).Publisher: Cham : Springer International Publishing : Imprint: Springer, 2020Edition: First edition 2020.Description: 1 recurso en línea (XIV, 198 páginas) : 106 ilustraciones, 24 ilustraciones a color.ISBN: 9783030419998.Subject: XML (Lenguaje de marcas)Online resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|
LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | QA76.76.H94 (Browse shelf(Opens below)) | Acceso electrónico | eBook.23042029 |
Spatiotemporal Data and Spatiotemporal Data Models -- Fuzzy Sets and Fuzzy XML Data Models -- Fuzzy Spatiotemporal Data Semantics -- Fuzzy Spatiotemporal Data Modeling and Operations in XML -- Determining Topological Relationship of Fuzzy Spatiotemporal Data in XML -- Transformation of Fuzzy Spatiotemporal Data -- Querying Fuzzy Spatiotemporal Data Using XQuery -- Consistencies in Fuzzy Spatiotemporal XML Updating.
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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