Advances in Knowledge Discovery and Management

  • Fabrice Guillet
  • Gilbert Ritschard
  • Djamel Abdelkader Zighed
  • Henri Briand

Part of the Studies in Computational Intelligence book series (SCI, volume 292)

Table of contents

  1. Front Matter
  2. Supervised Learning and Information Retrieval

    1. Front Matter
      Pages 1-1
    2. Matthias Studer, Gilbert Ritschard, Alexis Gabadinho, Nicolas S. Müller
      Pages 3-19
    3. Nicolas Voisine, Marc Boullé, Carine Hue
      Pages 21-38
    4. Thanh-Nghi Do, Philippe Lenca, Stéphane Lallich, Nguyen-Khang Pham
      Pages 39-55
    5. Nguyen-Khang Pham, Annie Morin, Patrick Gros, Quyet-Thang Le
      Pages 57-76
  3. Unsupervised Learning

    1. Front Matter
      Pages 95-95
    2. Gilles Hubert, Olivier Teste
      Pages 97-112
    3. Nistor Grozavu, Younès Bennani, Mustapha Lebbah
      Pages 133-147
    4. Guillaume Cleuziou
      Pages 149-166
    5. Romain Bourqui, Paolo Simonetto, Fabien Jourdan
      Pages 167-178
  4. Security and Data Streaming

    1. Front Matter
      Pages 179-179
    2. Nesrine Gabsi, Fabrice Clérot, Georges Hébrail
      Pages 181-200
    3. Lionel Vinceslas, Jean-Emile Symphor, Alban Mancheron, Pascal Poncelet
      Pages 201-216
    4. Goverdhan Singh, Florent Masseglia, Céline Fiot, Alice Marascu, Pascal Poncelet
      Pages 217-234
    5. Nischal Verma, François Trousset, Pascal Poncelet, Florent Masseglia
      Pages 235-247
  5. Ontologies and Semantic

    1. Front Matter
      Pages 249-249
    2. Fayçal Hamdi, Brigitte Safar, Chantal Reynaud, Haïfa Zargayouna
      Pages 251-269

About this book

Introduction

During the last decade, the French-speaking scientific community developed a very strong research activity in the field of Knowledge Discovery and Management (KDM or EGC for “Extraction et Gestion des Connaissances” in French), which is concerned with, among others, Data Mining, Knowledge Discovery, Business Intelligence, Knowledge Engineering and SemanticWeb. 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 2009 Conference held in Strasbourg, France on January 2009. The volume is organized in four parts. Part I includes five papers concerned by various aspects of supervised learning or information retrieval. Part II presents five papers concerned with unsupervised learning issues. Part III includes two papers on data streaming and two on security while in Part IV the last four papers are concerned with ontologies and semantic.

Keywords

Ontologie Spam data mining database databases image segmentation knowledge knowledge discovery learning management organization semantic web

Editors and affiliations

  • Fabrice Guillet
    • 1
  • Gilbert Ritschard
    • 2
  • Djamel Abdelkader Zighed
    • 3
  • Henri Briand
    • 1
  1. 1.Polytechnic School of Nantes UniversityNantesFrance
  2. 2.Université de GenèveGenèveSwitzerland
  3. 3.Université Lumi‘́ere Lyon 2BronFrance

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-00580-0
  • Copyright Information Springer-Verlag Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-00579-4
  • Online ISBN 978-3-642-00580-0
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book