Fuzzy XML Data Management: 311 (Studies in Fuzziness and Soft Computing)
Language: English
Published by Springer, 2016
Series: Book 85 of 183 - Studies in Fuzziness and Soft Computing
- Softcover
- New
Seller: Biblios, frankfurt am main, hessen, GermanyBiblios
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Condition: New
US$ 176.62
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- Title
- Fuzzy XML Data Management: 311 (Studies in Fuzziness and Soft Computing)
- Author
- Yan, Li; Ma, Zongmin; Zhang, Fu
- Publisher
- Springer
- Publication year
- 2016
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 366250927X
- ISBN 13
- 9783662509272
- Series
- Book 85 of 183: Studies in Fuzziness and Soft Computing
This book presents an exhaustive and timely review of key research work on fuzzy XML data management, and provides readers with a comprehensive resource on the state-of-the art tools and theories in this fast growing area. Topics covered in the book include: representation of fuzzy XML, query of fuzzy XML, fuzzy database models, extraction of fuzzy XML from fuzzy database models, reengineering of fuzzy XML into fuzzy database models, and reasoning of fuzzy XML. The book is intended as a reference guide for researchers, practitioners and graduate students working and/or studying in the field of Web Intelligence, as well as for data and knowledge engineering professionals seeking new approaches to replace traditional methods, which may be unnecessarily complex or even unproductive.
"Synopsis" may belong to another edition of this title.
From the Back Cover
This book presents an exhaustive and timely review of key research work on fuzzy XML data management, and provides readers with a comprehensive resource on the state-of-the art tools and theories in this fast growing area. Topics covered in the book include: representation of fuzzy XML, query of fuzzy XML, fuzzy database models, extraction of fuzzy XML from fuzzy database models, reengineering of fuzzy XML into fuzzy database models, and reasoning of fuzzy XML. The book is intended as a reference guide for researchers, practitioners and graduate students working and/or studying in the field of Web Intelligence, as well as for data and knowledge engineering professionals seeking new approaches to replace traditional methods, which may be unnecessarily complex or even unproductive.
"About the title" may belong to another edition of this title.
Biblios
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