Fuzzy Spatiotemporal XML Data Management (Hardcover)
Luyi Bai
Sold by Grand Eagle Retail, Bensenville, IL, U.S.A.
AbeBooks Seller since October 12, 2005
New - Hardcover
Condition: New
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Add to basketSold by Grand Eagle Retail, Bensenville, IL, U.S.A.
AbeBooks Seller since October 12, 2005
Condition: New
Quantity: 1 available
Add to basketHardcover. Spatiotemporal data is not always precise, and fuzziness in spatiotemporal data is usually accepted because of the way the world is measured and represented. Although eXtensible Markup Language (XML) recommended by the World Wide Web Consortium (W3C) has become the de-facto standard for data representation and exchange on the Web, an edited collection of fuzzy spatiotemporal XML data management studies is still scarce. This book studies fuzzy XML approaches for spatiotemporal data management that can greatly enhance the utilization of this sort of data for spatiotemporal applications. The book is anticipated to serve as a valuable resource in this field and is expected to attract considerable interest from researchers and developers engaged in the applications within the domain of spatiotemporal data management. Spatiotemporal data is not always precise, and fuzziness in spatiotemporal data is usually accepted because of the way the world is measured and represented. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Seller Inventory # 9783031810329
Spatiotemporal data is not always precise, and fuzziness in spatiotemporal data is usually accepted because of the way the world is measured and represented. Although eXtensible Markup Language (XML) recommended by the World Wide Web Consortium (W3C) has become the de-facto standard for data representation and exchange on the Web, an edited collection of fuzzy spatiotemporal XML data management studies is still scarce. This book studies fuzzy XML approaches for spatiotemporal data management that can greatly enhance the utilization of this sort of data for spatiotemporal applications. The book is anticipated to serve as a valuable resource in this field and is expected to attract considerable interest from researchers and developers engaged in the applications within the domain of spatiotemporal data management.
Spatiotemporal data is not always precise, and fuzziness in spatiotemporal data is usually accepted because of the way the world is measured and represented. Although eXtensible Markup Language (XML) recommended by the World Wide Web Consortium (W3C) has become the de-facto standard for data representation and exchange on the Web, an edited collection of fuzzy spatiotemporal XML data management studies is still scarce. This book studies fuzzy XML approaches for spatiotemporal data management that can greatly enhance the utilization of this sort of data for spatiotemporal applications. The book is anticipated to serve as a valuable resource in this field and is expected to attract considerable interest from researchers and developers engaged in the applications within the domain of spatiotemporal data management.
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