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Between Data Science and Applied Data Analysis

Proceedings of the 26th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Mannheim, July 22–24, 2002

  • Conference proceedings
  • © 2003

Overview

Editors:
  1. Martin Schader

    1. Department of Information Systems, University of Mannheim, Mannheim, Germany

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  2. Wolfgang Gaul

    1. Institute of Decision Theory, University of Karlsruhe, Karlsruhe, Germany

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  3. Maurizio Vichi

    1. Department of Statistics, University of Rome, Rome, Italy

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Table of contents (77 papers)

  1. Front Matter

    Pages I-XIII
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  2. Clustering and Discrimination

    1. Front Matter

      Pages 1-1
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    2. Robust Classification Through the Forward Search

      • Anthony Atkinson, Andrea Cerioli, Marco Riani
      Pages 3-12

    3. Fitting and Smoothing Properties of Length Constrained Smoothers Applied to Time Series

      • Estela Bee Dagum, Alessandra Luati
      Pages 13-21

    4. Interaction Terms in Non-linear PLS via Additive Spline Transformation

      • Jean-François Durand, Rosaria Lombardo
      Pages 22-29

    5. Discriminant Analysis With Categorical Variables: A Biplot Based Approach

      • Sugnet Gardner, Niël le Roux
      Pages 30-38

    6. Efficient Density Clustering Using Basin Spanning Trees

      • Sören Hader, Fred A. Hamprecht
      Pages 39-48

    7. Some Issues on Clustering of Functional Data

      • Salvatore Ingrassia, Andrea Cerioli, Aldo Corbellini
      Pages 49-56

    8. Scalable Clustering of High Dimensional Data

      • David Littau, Daniel Boley
      Pages 57-64

    9. Methods to Combine Classification Trees

      • Rossella Miglio, Gabriele Soffritti
      Pages 65-73

    10. Core-Based Clustering Techniques

      • Hans-Joachim Mucha, Hans-Georg Bartel, Jens Dolata
      Pages 74-82

    11. Combining Regression Trees and Radial Basis Function Networks in Longitudinal Data Modelling

      • Marilena Pillati, Daniela G. Calò, Giuliano Galimberti
      Pages 83-91

    12. Implementing a new Method for Discriminant Analysis When Group Covariance Matrices are Nearly Singular

      • Britta Pouwels, Winfried Theis, Christian Röver
      Pages 92-99

    13. Two Approaches for Discriminant Partial Least Squares

      • Robert Sabatier, Myrtille Vivien, Pietro Amenta
      Pages 100-108

    14. Improving the Classification Performance of a Discriminant Rule by Dealing With Data Cases Having a Substantial Influence on Variable Selection

      • Sarel Steel, Nelmarie Louw
      Pages 109-117

    15. Classification and Clustering of Vocal Performances

      • Claus Weihs, Uwe Ligges, Jörg Güttner, Petra Hasse-Becker, Sonja Berghoff
      Pages 118-126

    16. Cluster- and Discriminant Analysis With Both Metric and Categorial Data

      • Michael Wodny, Bernd Jäger, Karl-Ernst Biebler
      Pages 127-130

  3. Data Analysis and Statistics

    1. Front Matter

      Pages 131-131
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    2. Multivariate Mixture Models Estimation: A Genetic Algorithm Approach

      • Roberto Baragona, Francesco Battaglia
      Pages 133-142

    3. Two-Way Clustering for Contingency Tables: Maximizing a Dependence Measure

      • Hans-Hermann Bock
      Pages 143-154
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Keywords

Editors and Affiliations

  • Department of Information Systems, University of Mannheim, Mannheim, Germany

    Martin Schader

  • Institute of Decision Theory, University of Karlsruhe, Karlsruhe, Germany

    Wolfgang Gaul

  • Department of Statistics, University of Rome, Rome, Italy

    Maurizio Vichi

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