Conceptual and Numerical Analysis of Data

Proceedings of the 13th Conference of the Gesellschaft für Klassifikation e. V., University of Augsburg, April 10–12, 1989

  • Otto Optiz

Table of contents

  1. Front Matter
    Pages I-XXV
  2. Data Analysis and Classification: Basic Concepts and Methods

    1. Front Matter
      Pages 1-1
    2. E. Diday, M. Paula Brito
      Pages 45-84
    3. Gerhard Herden
      Pages 105-115
    4. Rudolf Mathar
      Pages 159-177
    5. O. Opitz, R. Wiedemann
      Pages 201-211
    6. Manfred Tittel, Paul O. Degens
      Pages 212-221
    7. Ulrich Tüshaus
      Pages 222-229
    8. K. Wolf, P. O. Degens
      Pages 256-265

About these proceedings

Introduction

The 13th conference of the Gesellschaft fUr Klassifikation e. V. took place at the Universitat Augsburg from April 10 to 12, 1989, with the' local organization by the Lehrstuhl fUr Mathematische Me­ thoden der Wirtschaftswissenschaften. The wide ranged subject of the conference Conceptual and Numerical Analysis of Data was obliged to indicate the variety of the concepts of data and information as well as the manifold methods of analysing and structuring. Based on the received announcements of papers four sections have been arranged: 1. Data Analysis and Classification: Basic Concepts and Methods 2. Applications in Library Sciences, Documentation and Information Sciences 3. Applications in Economics and Social Sciences 4. Applications in Natural Sciences and Computer Sciences This classification doesn't separate strictly, but it shows that theo­ retic and applying researchers of most different disciplines were disposed to present a paper. In 60 survey and special lectures the speakers reported on developments in theory and applications en­ couraging the interdisciplinary dialogue of all participants. This volume contains 42 selected papers grouped according to the four sections. Now we give a short insight into the presented papers. x Several problems of concept analysis, cluster analysis, data analysis and multivariate statistics are considered in 18 pa­ pers of section 1. The geometric representation of a concept lattice is a collection of figures in the plane corresponding to the given concepts in such a way that the subconcept-superconcept-relation corresponds to the containment relation between the figures. R.

Keywords

Anwendungen Cluster Analyse Datenanalyse Evaluation Median Quantitative Methods algorithms calculus classification data analysis statistics

Editors and affiliations

  • Otto Optiz
    • 1
  1. 1.Lehrstuhl für Mathematische MethodenWirtschaftswissenschaften Universität AugsburgAugsburgGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-75040-3
  • Copyright Information Springer-Verlag Berlin Heidelberg 1989
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-51641-5
  • Online ISBN 978-3-642-75040-3
  • About this book