Discovery Science

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

  • Einoshin Suzuki
  • Setsuo Arikawa
Conference proceedings DS 2004

DOI: 10.1007/b100845

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3245)

Table of contents (39 papers)

  1. Front Matter
  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

    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

About these proceedings


algorithms classification learning machine learning pattern mining science web mining

Editors and affiliations

  • Einoshin Suzuki
    • 1
  • Setsuo Arikawa
    • 2
  1. 1.Department of Informatics, Graduate School of Information Science and Electrical EngineeringKyushu UniversityFukuokaJapan
  2. 2.Kyushu UniversityFukuokaJapan

Bibliographic information

  • Copyright Information Springer-Verlag Berlin Heidelberg 2004
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-23357-2
  • Online ISBN 978-3-540-30214-8
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349