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Discovery Science

7th International Conference, DS 2004, Padova, Italy, October 2-5, 2004. Proceedings

  • Conference proceedings
  • © 2004

Overview

Editors:
  1. Einoshin Suzuki

    1. Department of Informatics, Graduate School of Information Science and Electrical Engineering, Kyushu University, Fukuoka, Japan

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  2. Setsuo Arikawa

    1. 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 3245)

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

Included in the following conference series:

Conference proceedings info: DS 2004.

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Table of contents (39 papers)

  1. Front Matter

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  2. Long Papers

    1. Pattern Mining

      1. Predictive Graph Mining
        • Andreas Karwath, Luc De Raedt
        Pages 1-15
      2. An Efficient Algorithm for Enumerating Closed Patterns in Transaction Databases
        • Takeaki Uno, Tatsuya Asai, Yuzo Uchida, Hiroki Arimura
        Pages 16-31
      3. Finding Optimal Pairs of Cooperative and Competing Patterns with Bounded Distance
        • Shunsuke Inenaga, Hideo Bannai, Heikki Hyyrö, Ayumi Shinohara, Masayuki Takeda, Kenta Nakai et al.
        Pages 32-46

    2. Classification

      1. Mining Noisy Data Streams via a Discriminative Model
        • Fang Chu, Yizhou Wang, Carlo Zaniolo
        Pages 47-59
      2. CorClass: Correlated Association Rule Mining for Classification
        • Albrecht Zimmermann, Luc De Raedt
        Pages 60-72
      3. Maximum a Posteriori Tree Augmented Naive Bayes Classifiers
        • Jesús Cerquides, Ramon Lòpez de Màntaras
        Pages 73-88

    3. Outlier Detection

      1. Improving Prediction of Distance-Based Outliers
        • Fabrizio Angiulli, Stefano Basta, Clara Pizzuti
        Pages 89-100
      2. Detecting Outliers via Logical Theories and Its Data Complexity
        • Fabrizio Angiulli, Gianluigi Greco, Luigi Palopoli
        Pages 101-113

    4. Clustering

      1. Fast Hierarchical Clustering Algorithm Using Locality-Sensitive Hashing
        • Hisashi Koga, Tetsuo Ishibashi, Toshinori Watanabe
        Pages 114-128
      2. Measuring the Similarity for Heterogenous Data: An Ordered Probability-Based Approach
        • SiQuang Le, TuBao Ho
        Pages 129-141

    5. Feature Construction and Generation

      1. Constructive Inductive Learning Based on Meta-attributes
        • Kouzou Ohara, Yukio Onishi, Noboru Babaguchi, Hiroshi Motoda
        Pages 142-154
      2. Resemblance Coefficient and a Quantum Genetic Algorithm for Feature Selection
        • Gexiang Zhang, Laizhao Hu, Weidong Jin
        Pages 155-168

    6. Knowledge Acquisition

      1. Extracting Positive Attributions from Scientific Papers
        • Son Bao Pham, Achim Hoffmann
        Pages 169-182
      2. Enhancing SVM with Visualization
        • Thanh-Nghi Do, François Poulet
        Pages 183-194
      3. An Associative Information Retrieval Based on the Dependency of Term Co-occurrence
        • Mina Akaishi, Ken Satoh, Yuzuru Tanaka
        Pages 195-206
      4. On the Convergence of Incremental Knowledge Base Construction
        • Tri M. Cao, Eric Martin, Paul Compton
        Pages 207-218

    7. Discovery Science in Reality

      1. Privacy Problems with Anonymized Transaction Databases
        • Taneli Mielikäinen
        Pages 219-229
      2. A Methodology for Biologically Relevant Pattern Discovery from Gene Expression Data
        • Ruggero G. Pensa, Jérémy Besson, Jean-François Boulicaut
        Pages 230-241
      3. Using the Computer to Study the Dynamics of the Handwriting Processes
        • Gilles Caporossi, Denis Alamargot, David Chesnet
        Pages 242-254
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Editors and Affiliations

  • Department of Informatics, Graduate School of Information Science and Electrical Engineering, Kyushu University, Fukuoka, Japan

    Einoshin Suzuki

  • Kyushu University, Fukuoka, Japan

    Setsuo Arikawa

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