Advances in Knowledge Discovery and Management

  • Fabrice Guillet
  • Bruno Pinaud
  • Gilles Venturini
  • Djamel Abdelkader Zighed
Part of the Studies in Computational Intelligence book series (SCI, volume 471)

Table of contents

  1. Front Matter
    Pages 1-15
  2. Data Mining, Classification and Queries

    1. Front Matter
      Pages 1-1
    2. Julien Rabatel, Sandra Bringay, Pascal Poncelet
      Pages 23-41
    3. Djamel Abdelkader Zighed, Rafik Abdesselam, Ahmed Bounekkar
      Pages 43-58
    4. Hanane Azzag, Mustapha Lebbah
      Pages 85-97
    5. Julien Aligon, Patrick Marcel, Elsa Negre
      Pages 99-124
  3. Ontology and Semantic

    1. Front Matter
      Pages 125-125
    2. Freddy Limpens, Fabien Gandon, Michel Buffa
      Pages 127-150
    3. Ammar Mechouche, Nathalie Abadie, Emeric Prouteau, Sébastien Mustière
      Pages 151-176
    4. Lionel Chauvin, David Genest, Aymeric Le Dorze, Stéphane Loiseau
      Pages 203-220
  4. Back Matter
    Pages 0--1

About this book

Introduction

The recent and novel research contributions collected in this book are extended and
reworked versions of a selection of the best papers that were originally presented in
French at the EGC’2011 Conference held in Brest, France, on January 2011.
EGC stands for "Extraction et Gestion des connaissances" in French, and means "Knowledge Discovery and Management" or KDM.
KDM is concerned with the works in computer science at the interface between data and knowledge; such as Data Mining, Knowledge Discovery, Business Intelligence, Knowledge Engineering and Semantic Web.

This book is intended to be read by all researchers interested in these fields, including
PhD or MSc students, and researchers from public or private laboratories. It
concerns both theoretical and practical aspects of KDM.

This book has been structured in two parts.
The first part, entitled “Data Mining, classification and queries”, deals with rule and pattern mining, with topological approaches
and with OLAP.
The second part of the book, entitled “Ontology and Semantic”, is related
to knowledge-based and user-centered approaches in KDM.

Keywords

Computational Intelligence Knowledge Discovery Management

Editors and affiliations

  • Fabrice Guillet
    • 1
  • Bruno Pinaud
    • 2
  • Gilles Venturini
    • 3
  • Djamel Abdelkader Zighed
    • 4
  1. 1.Polytechnic School of Nantes UniversityLINA (CNRS UMR 6241)Nantes Cedex 3France
  2. 2.LaBRIUniv. Bordeaux 1Talence CedexFrance
  3. 3., Polytech'Tours, Dpt InformatiqueUniversité François-Rabelais de ToursToursFrance
  4. 4.Laboratoire ERICUniversité Lumière Lyon 2BronFrance

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-35855-5
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-35854-8
  • Online ISBN 978-3-642-35855-5
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503