Analysis of Symbolic Data

Exploratory Methods for Extracting Statistical Information from Complex Data

  • Hans-Hermann Bock
  • Edwin Diday
Conference proceedings

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Hans-Hermann Bock
    Pages 24-38
  3. Hans-Hermann Bock
    Pages 39-53
  4. Hans-Hermann Bock, Edwin Diday
    Pages 54-77
  5. Véronique Stéphan, Georges Hébrail, Yves Lechevallier
    Pages 78-105
  6. Patrice Bertrand, Françoise Goupil
    Pages 106-124
  7. Monique Noirhomme-Fraiture, Manuel Rouard
    Pages 125-138
  8. F. Esposito, D. Malerba, V. Tamma, H. H. Bock
    Pages 139-197
  9. Hans-Hermann Bock, A. Chouakria, P. Cazes, E. Diday
    Pages 198-233
  10. Jean-Paul Rasson, Sandrine Lissoir
    Pages 234-293
  11. Marie Chavent, Hans-Hermann Bock
    Pages 294-341
  12. Mireille Gettler-Summa, Catherine Pardoux
    Pages 342-354
  13. Raymond Bisdorff
    Pages 355-385
  14. Alain Morineau
    Pages 386-391
  15. Back Matter
    Pages 392-425

About these proceedings


Raymond Bisdorff CRP-GL, Luxembourg The development of the SODAS software based on symbolic data analysis was extensively described in the previous chapters of this book. It was accompanied by a series of benchmark activities involving some official statistical institutes throughout Europe. Partners in these benchmark activities were the National Statistical Institute (INE) of Portugal, the Instituto Vasco de Estadistica Euskal (EUSTAT) from Spain, the Office For National Statistics (ONS) from the United Kingdom, the Inspection Generale de la Securite Sociale (IGSS) from Luxembourg 1 and marginally the University of Athens . The principal goal of these benchmark activities was to demonstrate the usefulness of symbolic data analysis for practical statistical exploitation and analysis of official statistical data. This chapter aims to report briefly on these activities by presenting some signifi­ cant insights into practical results obtained by the benchmark partners in using the SODAS software package as described in chapter 14 below.


Data Mining Datenanalyse Descriptive statistics Factor analysis Probability distribution Statistik calculus classification data analysis databases knowledge discovery principal component analysis sets statistics

Editors and affiliations

  • Hans-Hermann Bock
    • 1
  • Edwin Diday
    • 2
  1. 1.Institut für Statistik und WirtschaftsmathematikRWTH AachenAachenGermany
  2. 2.LISE CEREMADEUniversité Paris IX-DauphineParis Cedex 16France

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2000
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-66619-6
  • Online ISBN 978-3-642-57155-8
  • Series Print ISSN 1431-8814
  • Buy this book on publisher's site