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Discovery Science

4th International Conference, DS 2001, Washington, DC, USA, November 25-28, 2001 Proceedings

  • Conference proceedings
  • © 2001

Overview

Editors:
  1. Klaus P. Jantke

    1. DFKI GmbH Saarbrücken, Saarbrücken, Germany

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  2. Ayumi Shinohara

    1. Department of Informatics, Kyushu University, Fukuoka, Japan

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 2226)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

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Table of contents (46 papers)

  1. Front Matter

    Pages I-XII
    Download chapter PDF

  2. Invited Papers

    1. The Discovery Science Project in Japan

      • Setsuo Arikawa
      Pages 1-2

    2. Discovering Mechanisms: A Computational Philosophy of Science Perspective

      • Lindley Darden
      Pages 3-15

    3. Queries Revisited

      • Dana Angluin
      Pages 16-16

    4. Inventing Discovery Tools: Combining Information Visualization with Data Mining

      • Ben Shneiderman
      Pages 17-28

    5. Robot Baby 2001

      • Paul R. Cohen, Tim Oates, Niall Adams, Carole R. Beal
      Pages 29-29

  3. Regular Papers

    1. VML: A View Modeling Language for Computational Knowledge Discovery

      • Hideo Bannai, Yoshinori Tamada, Osamu Maruyama, Satoru Miyano
      Pages 30-44

    2. Computational Discovery of Communicable Knowledge: Symposium Report

      • Sašo Džeroski, Pat Langley
      Pages 45-49

    3. Bounding Negative Information in Frequent Sets Algorithms

      • I. Fortes, J. L. Balcázar, R. Morales
      Pages 50-58

    4. Functional Trees

      • João Gama
      Pages 59-73

    5. Spherical Horses and Shared Toothbrushes: Lessons Learned from a Workshop on Scientific and Technological Thinking

      • Michael E. Gorman, Alexandra Kincannon, Matthew M. Mehalik
      Pages 74-86

    6. Clipping and Analyzing News Using Machine Learning Techniques

      • Hans Gründel, Tino Naphtali, Christian Wiech, Jan-Marian Gluba, Maiken Rohdenburg, Tobias Scheffer
      Pages 87-99

    7. Towards Discovery of Deep and Wide First-Order Structures: A Case Study in the Domain of Mutagenicity

      • Tamás Horváth, Stefan Wrobel
      Pages 100-112

    8. Eliminating Useless Parts in Semi-structured Documents Using Alternation Counts

      • Daisuke Ikeda, Yasuhiro Yamada, Sachio Hirokawa
      Pages 113-127

    9. Multicriterially Best Explanations

      • Naresh S. Iyer, John R. Josephson
      Pages 128-140

    10. Constructing Approximate Informative Basis of Association Rules

      • Kouta Kanda, Makoto Haraguchi, Yoshiaki Okubo
      Pages 141-154

    11. Passage-Based Document Retrieval as a Tool for Text Mining with User’s Information Needs

      • Koichi Kise, Markus Junker, Andreas Dengel, Keinosuke Matsumoto
      Pages 155-169

    12. Automated Formulation of Reactions and Pathways in Nuclear Astrophysics: New Results

      • Sakir Kocabas
      Pages 170-181

    13. An Integrated Framework for Extended Discovery in Particle Physics

      • Sakir Kocabas, Pat Langley
      Pages 182-195

    14. Stimulating Discovery

      • Ronald N. Kosto
      Pages 196-213
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Keywords

About this book

These are the conference proceedings of the 4th International Conference on Discovery Science (DS 2001). Although discovery is naturally ubiquitous in s- ence, and scientific discovery itself has been subject to scientific investigation for centuries, the term Discovery Science is comparably new. It came up in conn- tion with the Japanese Discovery Science project (cf. Arikawa's invited lecture on The Discovery Science Project in Japan in the present volume) some time during the last few years. Setsuo Arikawa is the father in spirit of the Discovery Science conference series. He led the above mentioned project, and he is currently serving as the chairman of the international steering committee for the Discovery Science c- ference series. The other members of this board are currently (in alphabetical order) Klaus P. Jantke, Masahiko Sato, Ayumi Shinohara, Carl H. Smith, and Thomas Zeugmann. Colleagues and friends from all over the world took the opportunity of me- ing for this conference to celebrate Arikawa's 60th birthday and to pay tribute to his manifold contributions to science, in general, and to Learning Theory and Discovery Science, in particular. Algorithmic Learning Theory (ALT, for short) is another conference series initiated by Setsuo Arikawa in Japan in 1990. In 1994, it amalgamated with the conference series on Analogical and Inductive Inference (AII), when ALT was held outside of Japan for the first time.

Editors and Affiliations

  • DFKI GmbH Saarbrücken, Saarbrücken, Germany

    Klaus P. Jantke

  • Department of Informatics, Kyushu University, Fukuoka, Japan

    Ayumi Shinohara

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