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Data Analysis

Scientific Modeling and Practical Application

  • Book
  • © 2000

Overview

Editors:
  1. Wolfgang Gaul

    1. Institut für Entscheidungstheorie und Unternehmensforschung, Universität Karlsruhe (TH), Karlsruhe, Germany

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  2. Otto Opitz

    1. Lehrstuhl für Mathematische Methoden der Wirtschaftswissenschaften, Universität Augsburg, Augsburg, Germany

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  3. Martin Schader

    1. Lehrstuhl für Wirtschaftsinformatik III, Universität Mannheim, Mannheim, Germany

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Table of contents (43 chapters)

  1. Front Matter

    Pages I-XII
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  2. Classification

    1. Front Matter

      Pages 1-1
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    2. Clustering Relational Data

      • Vladimir Batagelj, Anuška Ferligoj
      Pages 3-15

    3. An Iterative Relocation Algorithm for Classifying Symbolic Data

      • Allan D. Gordon
      Pages 17-23

    4. Automatic Classification with Classifying Automata

      • Rainer Kiel, Martin Schader
      Pages 25-39

    5. Classification and Clustering of Objects With Variants

      • Gunter Ritter
      Pages 41-50

    6. Non-Hierarchical Classification Structures

      • Donatella Vicari, Maurizio Vichi
      Pages 51-65

    7. Clustering and Classification Based on Expert Knowledge Propagation Using a Probabilistic Self-Organizing Map: Application to Geophysics

      • Méziane Yacoub, Dominique Frayssinet, Fouad Badran, Sylvie Thiria
      Pages 67-78

  3. Data Analysis

    1. Front Matter

      Pages 79-79
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    2. Unobserved Heterogeneity in Mean- and Covariance Structure Models

      • Gerhard Arminger, Jörg Wittenberg
      Pages 81-93

    3. Average Consensus in Numerical Taxonomy and Some Generalizations

      • Jean-Pierre Barthélemy, François Brucker
      Pages 95-104

    4. Exploring Multivariate Modality by Unsupervised Mixture of Cubic B-Splines in 1-D Using Model Selection Criteria

      • Hamparsum Bozdogan
      Pages 105-119

    5. On a Framework for Dissimilarity Analysis

      • Frank Critchley
      Pages 121-134

    6. Least-Squares Ultrametric Tree Representations of Three- Way One-Mode Proximity Data

      • Geert De Soete, John T. Daws
      Pages 135-144

    7. From Data Mining to Knowledge Mining: An Introduction to Symbolic Data Analysis

      • Edwin Diday, Yves Lechevallier
      Pages 145-155

    8. Evidence for a Relationship Between Algorithmic Scheme and Shape of Inferred Trees

      • Olivier Gascuel
      Pages 157-168

    9. Testing for Antimodes

      • John A. Hartigan
      Pages 169-181

    10. A Classification of Bivariate Negative Binomial Distributions

      • Peter Ihm
      Pages 183-195

    11. Robust Forecasting of Parametric Trend of Time Series under “Outliers”

      • Yurij Kharin
      Pages 197-206

    12. Projections Distinguishing Isolated Groups in Multivariate Data Spaces

      • Henk A. L. Kiers, Wojtek J. Krzanowski
      Pages 207-218
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Keywords

About this book

"Data Analysis" in the broadest sense is the general term for a field of activities of ever-increasing importance in a time called the information age. It covers new areas with such trendy labels as, e.g., data mining or web mining as well as traditional directions emphazising, e.g., classification or knowledge organization. Leading researchers in data analysis have contributed to this volume and delivered papers on aspects ranging from scientific modeling to practical application. They have devoted their latest contributions to a book edited to honor a colleague and friend, Hans-Hermann Bock, who has been active in this field for nearly thirty years.

Editors and Affiliations

  • Institut für Entscheidungstheorie und Unternehmensforschung, Universität Karlsruhe (TH), Karlsruhe, Germany

    Wolfgang Gaul

  • Lehrstuhl für Mathematische Methoden der Wirtschaftswissenschaften, Universität Augsburg, Augsburg, Germany

    Otto Opitz

  • Lehrstuhl für Wirtschaftsinformatik III, Universität Mannheim, Mannheim, Germany

    Martin Schader

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