Advertisement

Advances in Knowledge Discovery and Management

Volume 4

  • Fabrice Guillet
  • Bruno Pinaud
  • Gilles Venturini
  • Djamel Abdelkader Zighed

Part of the Studies in Computational Intelligence book series (SCI, volume 527)

Table of contents

  1. Front Matter
    Pages 1-15
  2. Knowledge Discovery and Data Mining

    1. Front Matter
      Pages 1-1
    2. Marc Boullé, Romain Guigourès, Fabrice Rossi
      Pages 15-35
    3. Francisco de A.T. de Carvalho, Yves Lechevallier, Thierry Despeyroux, Filipe M. de Melo
      Pages 37-51
    4. Asma Ben Zakour, Sofian Maabout, Mohamed Mosbah, Marc Sistiaga
      Pages 53-76
    5. Rim Faiz, Maha Amami, Aymen Elkhlifi
      Pages 77-94
    6. Dhafer Lahbib, Marc Boullé, Dominique Laurent
      Pages 95-109
  3. Classification and Feature Extraction or Selection

    1. Front Matter
      Pages 111-111
    2. Hassan Chouaib, Florence Cloppet, Nicole Vincent
      Pages 113-131
    3. Laurent Vézard, Pierrick Legrand, Marie Chavent, Frédérique Faïta-Aïnseba, Julien Clauzel, Leonardo Trujillo
      Pages 133-153
  4. Back Matter
    Pages 173-174

About this book

Introduction

This book is a collection of representative and novel works done in Data Mining, Knowledge Discovery, Clustering and Classification that were originally presented in French at the EGC'2012 Conference held in Bordeaux, France, on January 2012. This conference was the 12th edition of this event, which takes place each year and which is now successful and well-known in the French-speaking community. This community was structured in 2003 by the foundation of the French-speaking EGC society (EGC in French stands for ``Extraction et Gestion des Connaissances'' and means ``Knowledge Discovery and Management'', or KDM).

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. The book is structured in two parts called ``Knowledge Discovery and Data Mining'' and ``Classification and Feature Extraction or Selection''. The first part (6 chapters) deals with data clustering and data mining. The three remaining chapters of the second part are related to classification and feature extraction or feature selection.


Keywords

Computational Intelligence Knowledge Discovery Management

Editors and affiliations

  • Fabrice Guillet
    • 1
  • Bruno Pinaud
    • 2
  • Gilles Venturini
    • 3
  • Djamel Abdelkader Zighed
    • 4
  1. 1.LINA (CNRS UMR 6241)University of NantesNantes Cedex 3France
  2. 2.LaBRIUniversity of Bordeaux 1Talence CedexFrance
  3. 3.Dpt InformatiqueUniversity François Rabelais of ToursToursFrance
  4. 4.Laboratoire ERICLumière University Lyon 2BronFrance

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-02999-3
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-02998-6
  • Online ISBN 978-3-319-02999-3
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site
Industry Sectors
Pharma
Automotive
Chemical Manufacturing
Biotechnology
Finance, Business & Banking
Electronics
IT & Software
Telecommunications
Energy, Utilities & Environment
Aerospace
Oil, Gas & Geosciences
Engineering