Advances in Intelligent Data Analysis VI

6th International Symposium on Intelligent Data Analysis, IDA 2005, Madrid, Spain, September 8-10, 2005. Proceedings

  • A. Fazel Famili
  • Joost N. Kok
  • José M. Peña
  • Arno Siebes
  • Ad Feelders

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3646)

Table of contents

  1. Front Matter
  2. Jean-Marc Andreoli, Guillaume Bouchard
    Pages 1-11
  3. Gustavo E. A. P. A. Batista, Ronaldo C. Prati, Maria C. Monard
    Pages 24-35
  4. Barry R. Cobb, Rafael Rumí, Antonio Salmerón
    Pages 36-45
  5. Julia Couto
    Pages 46-56
  6. Óscar Cubo, Víctor Robles, Javier Segovia, Ernestina Menasalvas
    Pages 57-65
  7. Esther Dopazo, Jacinto González-Pachón, Juan Robles
    Pages 66-73
  8. A. Fazel Famili, Ziying Liu, Pedro Carmona-Saez, Alaka Mullick
    Pages 74-85
  9. Doug Fisher, Mary Edgerton, Lianhong Tang, Lewis Frey, Zhihua Chen
    Pages 86-96
  10. Thomas R. Gabriel, A. Simona Pintilie, Michael R. Berthold
    Pages 97-108
  11. Giacomo Gamberoni, Evelina Lamma, Fabrizio Riguzzi, Sergio Storari, Stefano Volinia
    Pages 109-120
  12. Michael Gamon, Anthony Aue, Simon Corston-Oliver, Eric Ringger
    Pages 121-132
  13. Daniele Gunetti, Claudia Picardi, Giancarlo Ruffo
    Pages 133-144
  14. Elias Gyftodimos, Peter A. Flach
    Pages 145-156
  15. Yoav Horman, Gal A. Kaminka
    Pages 157-167
  16. Eyke Hüllermeier, Jürgen Beringer
    Pages 168-179
  17. Eyke Hüllermeier, Johannes Fürnkranz
    Pages 180-191
  18. Wendy S. Koegler, W. Philip Kegelmeyer
    Pages 192-203
  19. Pasi Lehtimäki, Kimmo Raivio
    Pages 204-215

About these proceedings


One of the superb characteristics of Intelligent Data Analysis (IDA) is that it is an interdisciplinary ?eld in which researchers and practitioners from a number of areas are involved in a typical project. This also creates a challenge in which the success of a team depends on the participation of users and domain experts who need to interact with researchers and developers of any IDA system. All this is usually re?ected in successful projects and of course on the papers that were evaluated by this year’s program committee from which the ?nal program has been developed. In our call for papers, we solicited papers on (i) applications and tools, (ii) theory and general principles, and (iii) algorithms and techniques. We received a total of 184 papers, reviewing these was a major challenge. Each paper was assigned to three reviewers. In the end 46 papers were accepted, which are all included in the proceedings and presented at the conference. This year’s papers re?ect the results of applied and theoretical researchfrom a number of disciplines all of which are related to the ?eld of Intelligent Data Analysis. To have the best combination of theoretical and applied research and also provide the best focus, we have divided this year’s IDA program into tu- rials, invited talks, panel discussions and technical sessions.


Analysis classification cognition data mining learning machine learning modeling pattern recognition statistics visualization

Editors and affiliations

  • A. Fazel Famili
    • 1
  • Joost N. Kok
    • 2
  • José M. Peña
    • 3
  • Arno Siebes
    • 4
  • Ad Feelders
    • 5
  1. 1.Institute for Information TechnologyNational Research Council CanadaOttawaCanada
  2. 2.LIACSLeiden UniversityThe Netherlands
  3. 3.IFM, Linköping UniversityLinköpingSweden
  4. 4.Department of Computer ScienceUniversiteit Utrecht 
  5. 5.Utrecht University, TB Utrecht,the Netherlands

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2005
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-28795-7
  • Online ISBN 978-3-540-31926-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book