Discovery Science

15th International Conference, DS 2012, Lyon, France, October 29-31, 2012. Proceedings

  • Jean-Gabriel Ganascia
  • Philippe Lenca
  • Jean-Marc Petit
Conference proceedings DS 2012
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7569)

Table of contents

  1. Front Matter
  2. Invited Talks

  3. Tutorial

    1. Gilbert Ritschard
      Pages 3-6
  4. Regular Papers

    1. Francis Maes, Raphael Fonteneau, Louis Wehenkel, Damien Ernst
      Pages 37-51
    2. Esther Galbrun, Angelika Kimmig
      Pages 52-66
    3. Dragan Gamberger, Dražen Lučanin, Tomislav Šmuc
      Pages 67-80
    4. Shunsuke Makino, Takaharu Shimada, Kouichi Hirata, Kouki Yonezawa, Kimihito Ito
      Pages 81-94
    5. Einoshin Suzuki, Emi Matsumoto, Asuki Kouno
      Pages 95-109
    6. Elise Desmier, Marc Plantevit, Céline Robardet, Jean-François Boulicaut
      Pages 110-124
    7. Bruno M. Nogueira, Alípio M. Jorge, Solange O. Rezende
      Pages 139-153
    8. Koji Tabata, Atsuyoshi Nakamura, Mineichi Kudo
      Pages 169-183
    9. Tom de Ruijter, Evgeni Tsivtsivadze, Tom Heskes
      Pages 184-193
    10. Prem Raj Adhikari, Jaakko Hollmén
      Pages 194-208
    11. Mickaël Fabrègue, Agnès Braud, Sandra Bringay, Florence Le Ber, Maguelonne Teisseire
      Pages 209-223
    12. Carlos Abreu Ferreira, João Gama, Vítor Santos Costa, Vladimiro Miranda, Audun Botterud
      Pages 224-238

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 15th International Conference on Discovery Science, DS 2012, held in Lyon, France, in October 2012.
The 22 papers presented in this volume were carefully reviewed and selected from 46 submissions. The field of discovery science aims at inducing and validating new scientific hypotheses from data. The scope of this conference includes the development and analysis of methods for automatic scientific knowledge discovery, machine learning, intelligent data analysis, theory of learning, tools for supporting the human process of discovery in science, as well as their application to knowledge discovery.

Keywords

XML mining autonomous exploration data mining huge network reinforcement learning

Editors and affiliations

  • Jean-Gabriel Ganascia
    • 1
  • Philippe Lenca
    • 2
  • Jean-Marc Petit
    • 3
  1. 1.LIP6 laboratoryParix VI UniversityParisFrance
  2. 2.Telecom Bretagne, UMR 6285 Lab-STICCBrest Cedex 3France
  3. 3.INSA Lyon, UMR 5205 LIRISVilleurbanne CedexFrance

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-33492-4
  • Copyright Information Springer-Verlag Berlin Heidelberg 2012
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-33491-7
  • Online ISBN 978-3-642-33492-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book