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Flexible Approaches in Data, Information and Knowledge Management

  • Book
  • © 2014

Overview

  • Presents Flexible Approaches in Data, Information and Knowledge Management
  • Focuses on publications of fuzzy set theory to the database domain
  • Written by experts in the field
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Computational Intelligence (SCI, volume 497)

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Table of contents (13 chapters)

  1. Bipolar Preference Queries

  2. Ontology-based Data Access

  3. Uncertain Databases

  4. Flexible Queries Over Nonstandard Data

  5. Fuzzy Knowledge Discovery and Exploitation

Keywords

About this book

This volume showcases contributions from internationally-known researchers in the field of information management. Most of the approaches presented here make use of fuzzy logic, introduced by L.A. Zadeh almost 50 years ago, which constitute a powerful tool to model and handle gradual concepts. What all of these contributions have in common is placing the user at the center of the information system, be it for helping him/her to query a data set, to handle imperfect information, or to discover useful knowledge from a massive collection of data.

Researchers working in data and knowledge management will greatly benefit from this collection of up-to-date studies. This may be also an invaluable source of information for  postgraduate students interested in advanced information management techniques.

Editors and Affiliations

  • IRISA/ENSSAT, Université de Rennes 1, Lannion Cedex, France

    Olivier Pivert

  • Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Sławomir Zadrożny

Bibliographic Information

  • Book Title: Flexible Approaches in Data, Information and Knowledge Management

  • Editors: Olivier Pivert, Sławomir Zadrożny

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-319-00954-4

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing Switzerland 2014

  • Hardcover ISBN: 978-3-319-00953-7Published: 20 September 2013

  • Softcover ISBN: 978-3-319-34663-2Published: 23 August 2016

  • eBook ISBN: 978-3-319-00954-4Published: 12 September 2013

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XII, 320

  • Number of Illustrations: 56 b/w illustrations

  • Topics: Computational Intelligence, Artificial Intelligence

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