Data Analysis

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

      PDF

   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

"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.

• Optimization Methods
• Symbol
• algorithms
• calculus
• classification
• clustering
• communication
• data analysis
• data mining
• entropy
• information
• modeling
• optimization
• regression
• statistics

• 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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