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Advances in Knowledge Discovery and Management

Volume 6

  • Fabrice Guillet
  • Bruno Pinaud
  • Gilles Venturini

Part of the Studies in Computational Intelligence book series (SCI, volume 665)

Table of contents

  1. Front Matter
    Pages i-xxi
  2. Mining Data with Optimization

    1. Front Matter
      Pages 1-1
    2. Hélène Jaudoin, Pierre Nerzic, Olivier Pivert, Daniel Rocacher
      Pages 19-38
    3. Arnaud Soulet, François Rioult
      Pages 61-81
  3. Quality Measures, Dissimilarities and Ultrametrics

    1. Front Matter
      Pages 83-83
    2. Rafik Abdesselam, Fatima-Zahra Aazi
      Pages 85-99
    3. Patricia Conde-Céspedes, Jean-François Marcotorchino, Emmanuel Viennet
      Pages 101-120
    4. Jean-Charles Lamirel, Pascal Cuxac, Kafil Hajlaoui
      Pages 121-140
    5. Dan A. Simovici, Rosanne Vetro, Kaixun Hua
      Pages 141-155
  4. Semantics, Ontologies, and Social Networks

    1. Front Matter
      Pages 157-157
    2. Bissan Audeh, Philippe Beaune, Michel Beigbeder
      Pages 159-180
    3. Thomas Dietenbeck, Fakhri Torkhani, Ahlem Othmani, Marco Attene, Jean-Marie Favreau
      Pages 181-206
    4. Thomas Hecht, Patrice Buche, Juliette Dibie, Liliana Ibanescu, Cassia Trojahn dos Santos
      Pages 207-227
    5. Gianluca Quercini, Nacéra Bennacer, Mohammad Ghufran, Coriane Nana Jipmo
      Pages 229-253
  5. Back Matter
    Pages 277-278

About this book

Introduction

This book presents a collection of representative and novel work in the field of data mining, knowledge discovery, clustering and classification, based on expanded and reworked versions of a selection of the best papers originally presented in French at the EGC 2014 and EGC 2015 conferences held in Rennes (France) in January 2014 and Luxembourg in January 2015. The book is in three parts: The first four chapters discuss optimization considerations in data mining. The second part explores specific quality measures, dissimilarities and ultrametrics. The final chapters focus on semantics, ontologies and social networks.

Written for PhD and MSc students, as well as researchers working in the field, it addresses both theoretical and practical aspects of knowledge discovery and management.

Keywords

Computational Intelligence Intelligent Systems Knowledge Discovery Management AKDM

Editors and affiliations

  • Fabrice Guillet
    • 1
  • Bruno Pinaud
    • 2
  • Gilles Venturini
    • 3
  1. 1.Polytech NantesUniversity of NantesNantes Cedex 3France
  2. 2.University of BordeauxTalence CedexFrance
  3. 3.Polytechnics Graduate SchoolUniversity of ToursToursFrance

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-45763-5
  • Copyright Information Springer International Publishing Switzerland 2017
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-45762-8
  • Online ISBN 978-3-319-45763-5
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site