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  • Conference proceedings
  • © 1999

Discovery Science

Second International Conference, DS'99, Tokyo, Japan, December 6-8, 1999 Proceedings

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1721)

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

Conference series link(s): DS: International Conference on Discovery Science

Conference proceedings info: DS 1999.

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Table of contents (53 papers)

  1. Front Matter

    Pages I-XI
  2. Contributed Papers

    1. Weighted Majority Decision among Several Region Rules for Scientific Discovery

      • Akihiro Nakaya, Hideharu Furukawa, Shinichi Morishita
      Pages 17-29
    2. CAEP: Classification by Aggregating Emerging Patterns

      • Guozhu Dong, Xiuzhen Zhang, Limsoon Wong, Jinyan Li
      Pages 30-42
    3. An Appropriate Abstraction for an Attribute-Oriented Induction

      • Yoshimitsu Kudoh, Makoto Haraguchi
      Pages 43-55
    4. Computer Aided Discovery of User’s Hidden Interest for Query Restructuring

      • Wataru Sunayama, Yukio Ohsawa, Masahiko Yachida
      Pages 68-79
    5. Iterative Naive Bayes

      • João Gama
      Pages 80-91
    6. Schema Design for Causal Law Mining from Incomplete Database

      • Kazunori Matsumoto, Kazuo Hashimoto
      Pages 92-102
    7. Design and Evaluation of an Environment to Automate the Construction of Inductive Applications

      • Akihiro Suyama, Naoya Negishi, Takahira Yamaguchi
      Pages 103-114
    8. Designing Views in HypothesisCreator: System for Assisting in Discovery

      • Osamu Maruyama, Tomoyuki Uchida, Kim Lan Sim, Satoru Miyano
      Pages 115-127
    9. Discovering Poetic Allusion in Anthologies of Classical Japanese Poems

      • Kouichi Tamari, Mayumi Yamasaki, Takuya Kida, Masayuki Takeda, Tomoko Fukuda, Ichirō Nanri
      Pages 128-138
    10. Approximation of Optimal Two-Dimensional Association Rules for Categorical Attributes Using Semidefinite Programming

      • Katsuki Fujisawa, Yukinobu Hamuro, Naoki Katoh, Takeshi Tokuyama, Katsutoshi Yada
      Pages 148-159
    11. Data Mining of Generalized Association Rules Using a Method of Partial-Match Retrieval

      • Kazunori Matsumoto, Takeo Hayase, Nobuyuki Ikeda
      Pages 160-171
    12. Adaptive Sampling Methods for Scaling Up Knowledge Discovery Algorithms

      • Carlos Domingo, Ricard Gavaldà, Osamu Watanabe
      Pages 172-183
    13. Scheduled Discovery of Exception Rules

      • Einoshin Suzuki
      Pages 184-195
    14. Learning in Constraint Databases

      • Teddy Turmeaux, Christel Vrain
      Pages 196-207
    15. Discover Risky Active Faults by Indexing an Earthquake Sequence

      • Yukio Ohsawa, Masahiko Yachida
      Pages 208-219

Other Volumes

  1. Discovery Science

Editors and Affiliations

  • Department of Informatics, Kyushu University, Fukuoka, Japan

    Setsuo Arikawa

  • Graduate School of Media and Governance, Keio University, Kanagawa, Japan

    Koichi Furukawa

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access