Studies in Computational Intelligence

Modeling Fuzzy Spatiotemporal Data with XML

Authors: Ma, Zongmin, Bai, Luyi, Yan, Li

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  • Highlights the latest advances in fuzzy spatiotemporal XML data management 
  • Focuses on technologies and approaches to Web-based spatiotemporal data management with uncertainty 
  • Covers fuzzy spatiotemporal data models, consistencies, queries, construction and storage, and semantic modeling 
  • Offers an essential guide for researchers, practitioners, and graduate students alike
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eBook $129.00
price for USA in USD
  • ISBN 978-3-030-41999-8
  • Digitally watermarked, DRM-free
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  • Immediate eBook download after purchase
Hardcover $169.99
price for USA in USD
About this book

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. 

Table of contents (8 chapters)

Table of contents (8 chapters)

Buy this book

eBook $129.00
price for USA in USD
  • ISBN 978-3-030-41999-8
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $169.99
price for USA in USD
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Bibliographic Information

Bibliographic Information
Book Title
Modeling Fuzzy Spatiotemporal Data with XML
Authors
Series Title
Studies in Computational Intelligence
Series Volume
894
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-41999-8
DOI
10.1007/978-3-030-41999-8
Hardcover ISBN
978-3-030-41998-1
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XIV, 198
Number of Illustrations
82 b/w illustrations, 24 illustrations in colour
Topics