Discovery Science

11th International Conference, DS 2008, Budapest, Hungary, October 13-16, 2008. Proceedings

  • Jean-François Jean-Fran
  • Michael R. Berthold
  • Tamás Horváth
Conference proceedings DS 2008

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5255)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 5255)

Table of contents

  1. Front Matter
  2. Invited Papers

  3. Learning

    1. Timo Aho, Tapio Elomaa, Jussi Kujala
      Pages 28-39
    2. Elena Ikonomovska, Joao Gama
      Pages 52-63
    3. Beau Piccart, Jan Struyf, Hendrik Blockeel
      Pages 64-75
  4. Feature Selection

    1. Mikko Korpela, Harri Mäkinen, Mika Sulkava, Pekka Nöjd, Jaakko Hollmén
      Pages 100-111
    2. Gemma C. Garriga, Antti Ukkonen, Heikki Mannila
      Pages 112-123
  5. Associations

    1. José L. Balcázar
      Pages 124-135
    2. Laszlo Szathmary, Petko Valtchev, Amedeo Napoli, Robert Godin
      Pages 136-147
  6. Discovery Processes

    1. Christopher Dartnell, Éric Martin, Jean Sallantin
      Pages 148-159
    2. Gauvain Bourgne, Vincent Corruble
      Pages 172-184
  7. Learning and Chemistry

    1. Kurt De Grave, Jan Ramon, Luc De Raedt
      Pages 185-196
    2. Leander Schietgat, Jan Ramon, Maurice Bruynooghe, Hendrik Blockeel
      Pages 197-209
    3. Frédéric Pennerath, Géraldine Polaillon, Amedeo Napoli
      Pages 210-221
  8. Clustering

  9. Structured Data

    1. Fedja Hadzic, Henry Tan, Tharam Dillon
      Pages 272-283
    2. Seiji Murakami, Koichiro Doi, Akihiro Yamamoto
      Pages 284-295
    3. Akihiko Izutani, Kuniaki Uehara
      Pages 296-307
  10. Text Analysis

    1. Kazuyuki Narisawa, Hideo Bannai, Kohei Hatano, Shunsuke Inenaga, Masayuki Takeda
      Pages 308-318
    2. Takashi Uemura, Daisuke Ikeda, Hiroki Arimura
      Pages 319-331
  11. Back Matter

About these proceedings


This book constitutes the refereed proceedings of the 11th International Conference on Discovery Science, DS 2008, held in Budapest, Hungary, in October 2008, co-located with the 19th International Conference on Algorithmic Learning Theory, ALT 2008.

The 26 revised long papers presented together with 5 invited papers were carefully reviewed and selected from 58 submissions. The papers address all current issues in the area of development and analysis of methods for intelligent data analysis, knowledge discovery and machine learning, as well as their application to scientific knowledge discovery. The papers are organized in topical sections on learning, feature selection, associations, discovery processes, learning and chemistry, clustering, structured data, and text analysis.


Clustering HCI classifier systems computational learning data analysis data mining digital encyclopedias grid computing knowledge knowledge discovery knowledge extraction knowledge processing knowledge visualization learning machine learning

Editors and affiliations

  • Jean-François Jean-Fran
    • 1
  • Michael R. Berthold
    • 2
  • Tamás Horváth
    • 3
  1. 1.INSA Lyon, LIRIS CNRS UMR 5205University of LyonVilleurbanne CedexFrance
  2. 2.Department of Computer and Information ScienceUniversity of KonstanzKonstanzGermany
  3. 3.University of Bonn and Fraunhofer IAISSankt AugustinGermany

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science Computer Science (R0)
  • Print ISBN 978-3-540-88410-1
  • Online ISBN 978-3-540-88411-8
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site