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  • Conference proceedings
  • © 2001

Advances in Intelligent Data Analysis

4th International Conference, IDA 2001, Cascais, Portugal, September 13-15, 2001. Proceedings

Editors:

  1. Frank Hoffmann

    1. Royal Institute of Technology, Centre for Autonomous Systems, Stockholm, Sweden

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  2. David J. Hand

    1. Imperial College, London, UK

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  3. Niall Adams

    1. Imperial College, London, UK

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  4. Douglas Fisher

    1. Department of Computer Science, Vanderbilt University, Nashville, USA

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  5. Gabriela Guimaraes

    1. Department of Computer Science, New University of Lisbon, Caparica, Portugal

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 2189)

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Table of contents (38 papers)

  1. Front Matter

    Pages I-XII
    PDF

  2. The Fourth International Symposium on Intelligent Data Analysis

    1. Feature Characterization in Scientific Datasets

      • Elizabeth Bradley, Nancy Collins, W. Philip Kegelmeyer
      Pages 1-12

    2. Relevance Feedback in the Bayesian Network Retrieval Model: An Approach Based on Term Instantiation

      • Luis M. de Campos, Juan M. Fernández-Luna, Juan F. Huete
      Pages 13-23

    4. A Mixture-of-Experts Framework for Learning from Imbalanced Data Sets

      • Andrew Estabrooks, Nathalie Japkowicz
      Pages 34-43

    5. Predicting Time-Varying Functions with Local Models

      • Achim Lewandowski, Peter Protzel
      Pages 44-52

    7. Tagging with Small Training Corpora

      • Nuno C. Marques, Gabriel Pereira Lopes
      Pages 63-72

    8. A Search Engine for Morphologically Complex Languages

      • Udo Hahn, Martin Honeck, Stefan Schulz
      Pages 73-83

    9. Errors Detection and Correction in Large Scale Data Collecting

      • Renato Bruni, Antonio Sassano
      Pages 84-94

    10. A New Framework to Assess Association Rules

      • Fernando Berzal, Ignacio Blanco, Daniel Sánchez, María-Amparo Vila
      Pages 95-104

    11. Communities of Interest

      • Corinna Cortes, Daryl Pregibon, Chris Volinsky
      Pages 105-114

    12. An Evaluation of Grading Classifiers

      • Alexander K. Seewald, Johannes Fürnkranz
      Pages 115-124

    13. Finding Informative Rules in Interval Sequences

      • Frank Höppner, Frank Klawonn
      Pages 125-134

    14. Correlation-Based and Contextual Merit-Based Ensemble Feature Selection

      • Seppo Puuronen, Alexey Tsymbal, Iryna Skrypnyk
      Pages 135-144

    15. Nonmetric Multidimensional Scaling with Neural Networks

      • Michiel C. van Wezel, Walter A. Kosters, Peter van der Putten, Joost N. Kok
      Pages 145-155

    16. Functional Trees for Regression

      • João Gama
      Pages 156-166

    17. Data Mining with Products of Trees

      • José Tomé A.S. Ferreira, David G.T. Denison, David J. Hand
      Pages 167-176

    18. S3Bagging: Fast Classifier Induction Method with Subsampling and Bagging

      • Masahiro Terabe, Takashi Washio, Hiroshi Motoda
      Pages 177-186
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Keywords

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Editors and Affiliations

  • Royal Institute of Technology, Centre for Autonomous Systems, Stockholm, Sweden

    Frank Hoffmann

  • Imperial College, London, UK

    David J. Hand, Niall Adams

  • Department of Computer Science, Vanderbilt University, Nashville, USA

    Douglas Fisher

  • Department of Computer Science, New University of Lisbon, Caparica, Portugal

    Gabriela Guimaraes

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Bibliographic Information

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Buy it now

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

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