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Fuzzy XML Data Management

  • Book
  • © 2014

Overview

  • Recent advances of fuzzy XML data management
  • The book serves as a useful guide for researchers, practitioners and graduate students in theory research, design implementation, as well as application development of intelligent information systems and Web intelligence
  • Written by leading experts in the field

Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 311)

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Table of contents (7 chapters)

Keywords

About this book

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.

Authors and Affiliations

  • School of Software, Northeastern University, Shenyang, People's Republic of China

    Li Yan

  • College of Information Science and Engineering, Northeastern University, Shenyang, People's Republic of China

    Zongmin Ma, Fu Zhang

Bibliographic Information

  • Book Title: Fuzzy XML Data Management

  • Authors: Li Yan, Zongmin Ma, Fu Zhang

  • Series Title: Studies in Fuzziness and Soft Computing

  • DOI: https://doi.org/10.1007/978-3-642-44899-7

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2014

  • Hardcover ISBN: 978-3-642-44898-0Published: 12 December 2013

  • Softcover ISBN: 978-3-662-50927-2Published: 03 September 2016

  • eBook ISBN: 978-3-642-44899-7Published: 25 November 2013

  • Series ISSN: 1434-9922

  • Series E-ISSN: 1860-0808

  • Edition Number: 1

  • Number of Pages: XI, 210

  • Number of Illustrations: 55 b/w illustrations

  • Topics: Computational Intelligence, Database Management, Data Mining and Knowledge Discovery

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