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Discovery Science

6th International Conference, DS 2003, Sapporo, Japan, October 17-19,2003, Proceedings

  • Conference proceedings
  • © 2003

Overview

Editors:
  1. Gunter Grieser

    1. FG Knowledge Engineering, FB Informatik, Technical University Darmstadt, Darmstadt

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  2. Yuzuru Tanaka

    1. Meme Media Laboratory, Hokkaido University, Sapporo, Japan

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  3. Akihiro Yamamoto

    1. Graduate School of Informatics, Kyoto University Yoshida Honmachi, Sakyo-ku, Kyoto, Japan

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 2843)

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

Included in the following conference series:

Conference proceedings info: DS 2003.

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Table of contents (51 papers)

  1. Front Matter

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  2. Invited Talks

    1. Abduction and the Dualization Problem

      • Thomas Eiter, Kazuhisa Makino
      Pages 1-20

    2. Signal Extraction and Knowledge Discovery Based on Statistical Modeling

      • Genshiro Kitagawa
      Pages 21-32

    3. Association Computation for Information Access

      • Akihiko Takano
      Pages 33-44

    4. Efficient Data Representations That Preserve Information

      • Naftali Tishby
      Pages 45-45

    5. Can Learning in the Limit Be Done Efficiently?

      • Thomas Zeugmann
      Pages 46-46

  3. Long Papers

    1. Discovering Frequent Substructures in Large Unordered Trees

      • Tatsuya Asai, Hiroki Arimura, Takeaki Uno, Shin-ichi Nakano
      Pages 47-61

    2. Discovering Rich Navigation Patterns on a Web Site

      • Karine Chevalier, Cécile Bothorel, Vincent Corruble
      Pages 62-75

    3. Mining Frequent Itemsets with Category-Based Constraints

      • Tien Dung Do, Siu Cheung Hui, Alvis Fong
      Pages 76-86

    4. Modelling Soil Radon Concentration for Earthquake Prediction

      • SaÅ¡o Džeroski, Ljupco Todorovski, Boris Zmazek, Janja Vaupotic, Ivan Kobal
      Pages 87-99

    5. Dialectical Evidence Assembly for Discovery

      • Alistair Fletcher, John Davis
      Pages 100-113

    6. Performance Analysis of a Greedy Algorithm for Inferring Boolean Functions

      • Daiji Fukagawa, Tatsuya Akutsu
      Pages 114-127

    7. Performance Evaluation of Decision Tree Graph-Based Induction

      • Warodom Geamsakul, Takashi Matsuda, Tetsuya Yoshida, Hiroshi Motoda, Takashi Washio
      Pages 128-140

    8. Discovering Ecosystem Models from Time-Series Data

      • Dileep George, Kazumi Saito, Pat Langley, Stephen Bay, Kevin R. Arrigo
      Pages 141-152

    9. An Optimal Strategy for Extracting Probabilistic Rules by Combining Rough Sets and Genetic Algorithm

      • Xiaoshu Hang, Honghua Dai
      Pages 153-165

    10. Extraction of Coverings as Monotone DNF Formulas

      • Kouichi Hirata, Ryosuke Nagazumi, Masateru Harao
      Pages 166-179

    11. What Kinds and Amounts of Causal Knowledge Can Be Acquired from Text by Using Connective Markers as Clues?

      • Takashi Inui, Kentaro Inui, Yuji Matsumoto
      Pages 180-193

    12. Clustering Orders

      • Toshihiro Kamishima, Jun Fujiki
      Pages 194-207

    13. Business Application for Sales Transaction Data by Using Genome Analysis Technology

      • Naoki Katoh, Katsutoshi Yada, Yukinobu Hamuro
      Pages 208-219

    14. Improving Efficiency of Frequent Query Discovery by Eliminating Non-relevant Candidates

      • Jérôme Maloberti, Einoshin Suzuki
      Pages 220-232
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  1. Discovery Science

Keywords

About this book

This book constitutes the refereed proceedings of the 6th International Conference on Discovery Science, DS 2003, held in Sapporo, Japan in October 2003.

The 18 revised full papers and 29 revised short papers presented together with 3 invited papers and abstracts of 2 invited talks were carefully reviewed and selected from 80 submissions. The papers address all current issues in discovery science including substructure discovery, Web navigation patterns discovery, graph-based induction, time series data analysis, rough sets, genetic algorithms, clustering, genome analysis, chaining patterns, association rule mining, classification, content based filtering, bioinformatics, case-based reasoning, text mining, Web data analysis, and more. 

Editors and Affiliations

  • FG Knowledge Engineering, FB Informatik, Technical University Darmstadt, Darmstadt

    Gunter Grieser

  • Meme Media Laboratory, Hokkaido University, Sapporo, Japan

    Yuzuru Tanaka

  • Graduate School of Informatics, Kyoto University Yoshida Honmachi, Sakyo-ku, Kyoto, Japan

    Akihiro Yamamoto

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