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Advances in Intelligent Data Analysis VII

7th International Symposium on Intelligent Data Analysis, IDA 2007, Ljubljana, Slovenia, September 6-8, 2007. Proceedings

  • Editors
  • Michael R. Berthold
  • John Shawe-Taylor
  • Nada Lavrač
Conference proceedings IDA 2007

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4723)

Table of contents

  1. Front Matter
  2. Statistical Data Analysis

    1. Fei Sha, Y. Albert Park, Lawrence K. Saul
      Pages 13-24
    2. Elisa Ricci, Tijl de Bie, Nello Cristianini
      Pages 25-36
    3. Dimitris Tzikas, Matjaz Kukar, Aristidis Likas
      Pages 37-47
  3. Bayesian Approaches

  4. Clustering Methods

    1. Alexander Hinneburg, Hans-Henning Gabriel
      Pages 70-80
    2. Dimitris K. Tasoulis, Gordon Ross, Niall M. Adams
      Pages 81-92
    3. Alexander Hasenfuss, Barbara Hammer
      Pages 93-105
  5. Ensemble Learning

    1. José del Campo-Ávila, Gonzalo Ramos-Jiménez, Rafael Morales-Bueno
      Pages 106-117
    2. Panče Panov, Sašo Džeroski
      Pages 118-129
    3. Carlos Valle, Ricardo Ñanculef, Héctor Allende, Claudio Moraga
      Pages 130-139
  6. Ranking

    1. Radim Belohlavek, Stanislav Opichal, Vilem Vychodil
      Pages 140-151
    2. Jérémy Besson, Céline Robardet
      Pages 152-162
  7. Trees

    1. Valerio A. Tutore, Roberta Siciliano, Massimo Aria
      Pages 163-173
    2. Antonio D’Ambrosio, Massimo Aria, Roberta Siciliano
      Pages 174-183
  8. Sequence/ Time Series Analysis

    1. Saara Hyvönen, Aristides Gionis, Heikki Mannila
      Pages 195-206
    2. José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis
      Pages 207-218
  9. Knowledge Discovery

  10. Visualization

    1. Antti Ukkonen
      Pages 240-251
    2. Katharina Tschumitschew, Frank Klawonn, Frank Höppner, Vitaliy Kolodyazhniy
      Pages 263-273
  11. Text Mining

    1. Mannes Poel, Luite Stegeman, Rieks op den Akker
      Pages 274-283
    2. Krzysztof Ciesielski, Mieczysław A. Kłopotek
      Pages 284-295
    3. Fabrice Colas, Pavel Paclík, Joost N. Kok, Pavel Brazdil
      Pages 296-307
  12. Bioinformatics

    1. Karl Fraser, Zidong Wang, Yongmin Li, Paul Kellam, Xiaohui Liu
      Pages 308-319
    2. Massimo La Rosa, Giuseppe Di Fatta, Salvatore Gaglio, Giovanni M. Giammanco, Riccardo Rizzo, Alfonso M. Urso
      Pages 332-343
  13. Applications

    1. Andrzej Ruta, Yongmin Li, Xiaohui Liu
      Pages 355-366
    2. Ole Edsberg, Øystein Nytrø, Thomas Brox Røst
      Pages 367-378
  14. Back Matter

About these proceedings

Introduction

Weareproudtopresenttheproceedingsoftheseventhbiennialconferenceinthe Intelligent Data Analysis series. The conference took place in Ljubljana, Slo- nia, September 6-8, 2007. IDA continues to expand its scope, quality and size. It started as a small side-symposium as part of a larger conference in 1995 in Baden-Baden(Germany).It quickly attractedmoreinterest in both submissions and attendance as it moved to London (1997) and then Amsterdam (1999). The next three meetings were held in Lisbon (2001), Berlin (2003) and then Madrid in 2005. The improving quality of the submissions has enabled the organizers to assemble programs of ever-increasing consistency and quality. This year we madea rigorousselectionof33papersoutofalmost100submissions.Theresu- ing oral presentations were then scheduled in a single-track, two-and-a-half-day conference program, summarized in the book that you have before you. In accordance with the stated IDA goal of “bringing together researchers from diverse disciplines,” we believe we have achieved an excellent balance of presentationsfromthemoretheoretical–bothstatisticalandmachinelearning– to the more application-oriented areas that illustrate how these techniques can beusedinpractice.Forexample,theproceedingsincludepaperswiththeoretical contributions dealing with statistical approaches to sequence alignment as well as papers addressing practical problems in the areas of text classi?cation and medical data analysis. It is reassuring to see that IDA continues to bring such diverse areas together, thus helping to cross-fertilize these ?elds.

Keywords

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

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-74825-0
  • Copyright Information Springer-Verlag Berlin Heidelberg 2007
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-74824-3
  • Online ISBN 978-3-540-74825-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site