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Classification, Automation, and New Media

Proceedings of the 24th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Passau, March 15—17, 2000

  • Conference proceedings
  • © 2002

Overview

Editors:
  1. Wolfgang Gaul

    1. Institute for Decision Theory and Operations Research, University of Karlsruhe, Karlsruhe, Germany

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  2. Gunter Ritter

    1. Department of Mathematics and Informatics, University of Passau, Passau, Germany

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    You can also search for this editor in PubMed   Google Scholar

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Table of contents (57 papers)

  1. Front Matter

    Pages i-xi
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  2. Data Analysis, Statistics, and Classification

    1. Front Matter

      Pages 1-1
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    2. Clustering and Models

      • Christophe Ambroise, Gerard Govaert
      Pages 3-16

    3. Some New and Some Old Results for the Polytomous Rasch Model

      • Erling B. Andersen
      Pages 17-27

    4. Some Basic Results on the Extension of Quasi-likelihood Based Measurement Error Correction to Multivariate and Flexible Structural Models

      • T. Augustin
      Pages 29-36

    5. On the Optimal Number of Clusters in Histogram Clustering

      • J. M. Buhmann, M. Held
      Pages 37-45

    6. The Dual Dynamic Factor Analysis Models

      • R. Coppi, P. D’Urso
      Pages 47-58

    7. Joint Non-symmetrical Correspondence Analysis with Ordered Categories

      • L. D’Ambra, R. Lombardo, P. Amenta
      Pages 59-66

    8. Regression Analysis of Extremely Multicollinear Data

      • Norman Fickel
      Pages 67-74

    9. Modern Data Analysis: A Clash of Paradigms

      • David J. Hand
      Pages 75-85

    10. Two-mode Clustering with Genetic Algorithms

      • J. Hansohm
      Pages 87-93

    11. Exact Tests for the Comparison of Binary Data Structures in Time

      • J. Krauth
      Pages 95-106

    12. Connected Maximum Split Clustering of Ladder Graphs

      • I. Lari
      Pages 107-114

    13. A Generalization of Two-mode Three-way Asymmetric Multidimensional Scaling

      • A. Okada, T. Imaizumi
      Pages 115-122

    14. Central Limit Theorem for Probabilities of Correct Classification

      • Wolf-Dieter Richter
      Pages 123-130

    15. A New Model for the Analysis of Multitrait-multimethod Data

      • R. Rocci, G. Bove
      Pages 131-138

    16. Discrete and Continuous Models for Two-way Data

      • Maurizio Vichi
      Pages 139-147
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Keywords

About this book

Given the huge amount of information in the internet and in practically every domain of knowledge that we are facing today, knowledge discovery calls for automation. The book deals with methods from classification and data analysis that respond effectively to this rapidly growing challenge. The interested reader will find new methodological insights as well as applications in economics, management science, finance, and marketing, and in pattern recognition, biology, health, and archaeology.

Editors and Affiliations

  • Institute for Decision Theory and Operations Research, University of Karlsruhe, Karlsruhe, Germany

    Wolfgang Gaul

  • Department of Mathematics and Informatics, University of Passau, Passau, Germany

    Gunter Ritter

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