Advances in Knowledge Discovery and Management

Volume 7

  • Bruno Pinaud
  • Fabrice Guillet
  • Bruno Cremilleux
  • Cyril de Runz

Part of the Studies in Computational Intelligence book series (SCI, volume 732)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Céline Alec, Chantal Reynaud-Delaître, Brigitte Safara
    Pages 1-21
  3. Amadou Fall Dia, Zakia Kazi-Aoul, Aliou Boly, Yousra Chabchoub
    Pages 23-40
  4. Thomas Guyet, Yves Moinard, René Quiniou, Torsten Schaub
    Pages 41-81
  5. Sathiya Prabhu Kumar, Sylvain Lefebvre, Raja Chiky, Olivier Hermant
    Pages 83-108
  6. Rabih Taleb, Rabah Mazouzi, Lynda Seddiki, Cyril de Runz, Kevin Guelton, Herman Akdag
    Pages 109-125
  7. Andrés Troya-Galvis, Pierre Gançarski, Laure Berti-Équille
    Pages 127-145
  8. Back Matter
    Pages 147-147

About this book


This book is a collection of representative and novel works in the field of data mining, knowledge discovery, clustering and classification. Discussing both theoretical and practical aspects of “Knowledge Discovery and Management” (KDM), it is intended for researchers interested in these fields, including PhD and MSc students, and researchers from public or private laboratories.

The contributions included are extended and reworked versions of six of the best papers that were originally presented in French at the EGC’2016 conference held in Reims (France) in January 2016. This was the 16th edition of this successful conference, which takes place each year, and also featured workshops and other events with the aim of promoting exchanges between researchers and companies concerned with KDM and its applications in business, administration, industry and public organizations. For more details about the EGC society, please consult


Data Science Semantic Web Clustering and Classification Computational Intelligence Knowledge Management

Editors and affiliations

  • Bruno Pinaud
    • 1
  • Fabrice Guillet
    • 2
  • Bruno Cremilleux
    • 3
  • Cyril de Runz
    • 4
  1. 1.University of BordeauxBordeauxFrance
  2. 2.Polytech NantesNantesFrance
  3. 3.University of Caen NormandieCaen Cedex 5France
  4. 4.University of Reims Champagne-ArdenneReimsFrance

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-319-65405-8
  • Online ISBN 978-3-319-65406-5
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site
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