Advances in Intelligent Data Analysis V

5th International Symposium on Intelligent Data Analysis, IDA 2003, Berlin, Germany, August 28-30, 2003. Proceedings

  • Michael R. Berthold
  • Hans-Joachim Lenz
  • Elizabeth Bradley
  • Rudolf Kruse
  • Christian Borgelt
Conference proceedings IDA 2003

Part of the Lecture Notes in Computer Science book series (LNCS, volume 2810)

Table of contents

  1. Front Matter
  2. Machine Learning

    1. Ad Feelders, Martijn Pardoel
      Pages 1-12
    2. Eyke Hüllermeier
      Pages 13-24
    3. Michael Kockelkorn, Andreas Lüneburg, Tobias Scheffer
      Pages 25-35
    4. Axel Großmann, Matthias Wendt, Jeremy Wyatt
      Pages 36-47
    5. Ljupčo Todorovski, Sašo Džeroski
      Pages 48-59
    6. Tony Lindgren, Henrik Boström
      Pages 60-67
    7. Thomas R. Gabriel, Michael R. Berthold
      Pages 76-87
    8. In-Cheol Kim, Soon-Hee Myoung
      Pages 88-99
  3. Probability and Topology

    1. V. Robins, J. Abernethy, N. Rooney, E. Bradley
      Pages 111-122
    2. Paul R. Cohen, Charles A. Sutton
      Pages 134-142
    3. V. Robles, P. Larrañaga, J. M. Peña, E. Menasalvas, M. S. Pérez
      Pages 143-154
  4. Classification and Pattern Recognition

    1. Peter Geibel, Ulf Brefeld, Fritz Wysotzki
      Pages 167-178
    2. Boris Kryzhanovsky, Leonid Litinskii, Anatoly Fonarev
      Pages 179-186
    3. Axel E. Bernal, Karen Hospevian, Tayfun Karadeniz, Jean-Louis Lassez
      Pages 187-197
    4. Fernando Berzal, Juan-Carlos Cubero, Nicolás Marín, Daniel Sánchez
      Pages 198-207
    5. Petr Savicky, Johannes Fürnkranz
      Pages 219-229
    6. Branko Kavšek, Nada Lavrač, Viktor Jovanoski
      Pages 230-241
  5. Clustering

    1. Allou Samé, Christophe Ambroise, Gérard Govaert
      Pages 265-274
    2. Janos Abonyi, Balazs Feil, Sandor Nemeth, Peter Arva
      Pages 275-285
    3. Chun-Hung Tzeng, Fu-Shing Sun
      Pages 297-306
    4. Dimitrios Katsaros, Alexandros Nanopoulos, Murat Karakaya, Gokhan Yavas, Özgür Ulusoy, Yannis Manolopoulos
      Pages 319-329
    5. Carla S. Möller-Levet, Frank Klawonn, Kwang-Hyun Cho, Olaf Wolkenhauer
      Pages 330-340
    6. Elena V. Samsonova, Thomas Bäck, Margot W. Beukers, Ad P. Ijzerman, Joost N. Kok
      Pages 341-351
  6. Applications

    1. Paul O’Neill, George D. Magoulas, Xiaohui Liu
      Pages 364-375
    2. Heiko Hofer, Christian Borgelt, Michael R. Berthold
      Pages 376-385
    3. Leo Gordon, Alexey Ya. Chervonenkis, Alex J. Gammerman, Ilham A. Shahmuradov, Victor V. Solovyev
      Pages 386-396
    4. Christine Steinhoff, Tobias Müller, Ulrike A. Nuber, Martin Vingron
      Pages 418-429
    5. Aristoklis D. Anastasiadis, George D. Magoulas, Xiaohui Liu
      Pages 430-439
    6. Steve Counsell, Xiaohui Liu, Rajaa Najjar, Stephen Swift, Allan Tucker
      Pages 440-450
    7. Martin Lauer, Martin Riedmiller, Thomas Ragg, Walter Baum, Michael Wigbers
      Pages 451-461
  7. Modeling

    1. Clodoaldo A. M. Lima, André L. V. Coelho, Fernando J. Von Zuben
      Pages 462-473
    2. Susana Vegas-Azcárate, Jorge Muruzábal
      Pages 497-508
    3. Marta Avalos, Yves Grandvalet, Christophe Ambroise
      Pages 509-520
    4. Toni M. Rath, Maximo Carreras, Paola Sebastiani
      Pages 521-532
    5. Charles A. Sutton, Brendan Burns, Clayton Morrison, Paul R. Cohen
      Pages 533-543

About these proceedings


We are glad to present the proceedings of the 5th biennial conference in the Intelligent Data Analysis series. The conference took place in Berlin, Germany, August 28–30, 2003. IDA has by now clearly grown up. Started as a small si- symposium of a larger conference in 1995 in Baden-Baden (Germany) it quickly attractedmoreinterest(bothsubmission-andattendance-wise),andmovedfrom London (1997) to Amsterdam (1999), and two years ago to Lisbon. Submission ratesalongwiththeeverimprovingqualityofpapershaveenabledtheor- nizers to assemble increasingly consistent and high-quality programs. This year we were again overwhelmed by yet another record-breaking submission rate of 180 papers. At the Program Chairs meeting we were – based on roughly 500 reviews – in the lucky position of carefully selecting 17 papers for oral and 42 for poster presentation. Poster presenters were given the opportunity to summarize their papers in 3-minute spotlight presentations. The oral, spotlight and poster presentations were then scheduled in a single-track, 2. 5-day conference program, summarized in this book. In accordance with the goal of IDA, “to bring together researchers from diverse disciplines,” we achieved a nice balance of presentations from the more theoreticalside(bothstatisticsandcomputerscience)aswellasmoreapplicati- oriented areas that illustrate how these techniques can be used in practice. Work presented in these proceedings ranges from theoretical contributions dealing, for example, with data cleaning and compression all the way to papers addressing practical problems in the areas of text classi?cation and sales-rate predictions. A considerable number of papers also center around the currently so popular applications in bioinformatics.


Analysis classification cognition learning machine learning modeling pattern recognition topology

Editors and affiliations

  • Michael R. Berthold
    • 1
  • Hans-Joachim Lenz
    • 2
  • Elizabeth Bradley
    • 3
  • Rudolf Kruse
    • 4
  • Christian Borgelt
    • 5
  1. 1.Berkeley Initiative in Soft Computing (BISC)University of California at BerkeleyUSA
  2. 2.Freie Universität BerlinBerlinGermany
  3. 3.Department of Computer ScienceUniversity of Colorado, BoulderColoradoUSA
  4. 4.Otto-von-Guericke-University of MagdeburgGermany
  5. 5.Department of Knowledge Processing and Language EngineeringUniversity of MagdeburgMagdeburgGermany

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2003
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-40813-0
  • Online ISBN 978-3-540-45231-7
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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