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Advances in Knowledge Discovery and Management

Volume 8

  • Book
  • © 2019


  • Presents representative and novel research in the fields of data science, semantic Web, clustering, and classification
  • Provides recent research in Knowledge Discovery and Management
  • Offers a carefully edited post-proceedings book

Part of the book series: Studies in Computational Intelligence (SCI, volume 834)

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About this book

This book highlights novel research in Knowledge Discovery and Management (KDM), gathering the extended, peer-reviewed versions of outstanding papers presented at the annual conferences EGC’2017 & EGC’2018. The EGC conference cycle was founded by the International French-speaking EGC society (“Extraction et Gestion des Connaissances”) in 2003, and has since become a respected fixture among the French-speaking community. In addition to the annual conference, the society organizes various other events in order to promote exchanges between researchers and companies concerned with KDM and its applications to business, administration, industry and public organizations.

Addressing novel research in data science, semantic Web, clustering, and classification, the content presented here will chiefly benefit researchers interested in these fields, including Ph.D./M.Sc. students, at public and private laboratories alike.

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Table of contents (8 chapters)

  1. Clustering

  2. Textual Data

  3. Spatial and Temporal Dimension

  4. Human and Social Dimension

Editors and Affiliations

  • University of Bordeaux, Bordeaux, France

    Bruno Pinaud

  • Polytechnic School of the University of Nantes, University of Nantes, Nantes, France

    Fabrice Guillet

  • University of Côte d'Azur, Inria, Sophia Antipolis, France

    Fabien Gandon

  • CNRS, Hubert Curien Laboratory, University of Lyon, Université Jean Monnet, Saint-Etienne, Saint-Étienne, France

    Christine Largeron

Bibliographic Information

  • Book Title: Advances in Knowledge Discovery and Management

  • Book Subtitle: Volume 8

  • Editors: Bruno Pinaud, Fabrice Guillet, Fabien Gandon, Christine Largeron

  • Series Title: Studies in Computational Intelligence

  • DOI:

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: Springer Nature Switzerland AG 2019

  • Hardcover ISBN: 978-3-030-18128-4Published: 01 July 2019

  • Softcover ISBN: 978-3-030-18131-4Published: 14 August 2020

  • eBook ISBN: 978-3-030-18129-1Published: 20 June 2019

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XVIII, 183

  • Number of Illustrations: 42 b/w illustrations, 33 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence

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