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Advances in Intelligent Data Analysis

Third International Symposium, IDA-99 Amsterdam, The Netherlands, August 9-11, 1999 Proceedings

  • Conference proceedings
  • © 1999

Overview

Editors:
  1. David J. Hand

    1. Department of Mathematics, Imperial College, London, UK

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  2. Joost N. Kok

    1. Leiden Institute for Advanced Computer Science, Leiden University, RA Leiden, The Netherlands

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    You can also search for this editor in PubMed   Google Scholar

  3. Michael R. Berthold

    1. Berkeley Initiative in Soft Computing, University of California at Berkeley, Berkeley, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1642)

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Table of contents (44 papers)

  1. Front Matter

    Pages I-XII
    Download chapter PDF

  2. Learning

    1. From Theoretical Learnability to Statistical Measures of the Learnable

      • Marc Sebban, Gilles Richard
      Pages 3-14

    2. ALM: A Methodology for Designing Accurate Linguistic Models for Intelligent Data Analysis

      • Oscar Cordón, Francisco Herrera
      Pages 15-26

    3. A “Top-Down and Prune” Induction Scheme for Constrained Decision Committees

      • Richard Nock, Pascal Jappy
      Pages 27-38

    4. Mining Clusters with Association Rules

      • Walter A. Kosters, Elena Marchiori, Ard A. J. Oerlemans
      Pages 39-50

    5. Evolutionary Computation to Search for Strongly Correlated Variables in High-Dimensional Time-Series

      • Stephen Swift, Allan Tucker, Xiaohui Liu
      Pages 51-62

    6. The Biases of Decision Tree Pruning Strategies

      • Tapio Elomaa
      Pages 63-74

    7. Feature Selection as Retrospective Pruning in Hierarchical Clustering

      • Luis Talavera
      Pages 75-86

    8. Discriminative Power of Input Features in a Fuzzy Model

      • Rosaria Silipo, Michael R. Berthold
      Pages 87-98

    9. Learning Elements of Representations for Redescribing Robot Experiences

      • Laura Firoiu, Paul Cohen
      Pages 99-110

    10. “Seeing“ Objects in Spatial Datasets

      • Xingang Huang, Feng Zhao
      Pages 111-122

    11. Intelligent Monitoring Method Using Time Varying Binomial Distribution Models for Pseudo-Periodic Communication Traffic

      • Kazunori Matsumoto, Kazuo Hashimoto
      Pages 123-134

  4. Classification and Clustering

    1. A Decision Tree Algorithm for Ordinal Classification

      • Rob Potharst, Jan C. Bioch
      Pages 187-198

    2. Discovering Dynamics Using Bayesian Clustering

      • Paola Sebastiani, Marco Ramoni, Paul Cohen, John Warwick, James Davis
      Pages 199-209

    3. Integrating Declarative Knowledge in Hierarchical Clustering Tasks

      • Luis Talavera, Javier Béjar
      Pages 211-222

    4. Nonparametric Linear Discriminant Analysis by Recursive Optimization with Random Initialization

      • Mayer Aladjem
      Pages 223-234
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Keywords

Editors and Affiliations

  • Department of Mathematics, Imperial College, London, UK

    David J. Hand

  • Leiden Institute for Advanced Computer Science, Leiden University, RA Leiden, The Netherlands

    Joost N. Kok

  • Berkeley Initiative in Soft Computing, University of California at Berkeley, Berkeley, USA

    Michael R. Berthold

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