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Analysis of Symbolic Data

Exploratory Methods for Extracting Statistical Information from Complex Data

  • Conference proceedings
  • © 2000

Overview

Editors:
  1. Hans-Hermann Bock

    1. Institut für Statistik und Wirtschaftsmathematik, RWTH Aachen, Aachen, Germany

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  2. Edwin Diday

    1. LISE CEREMADE, Université Paris IX-Dauphine, Paris Cedex 16, France

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    You can also search for this editor in PubMed   Google Scholar

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Table of contents (14 papers)

  1. Front Matter

    Pages i-xviii
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  2. Symbolic Data Analysis and the SODAS Project: Purpose, History, Perspective

    • Edwin Diday
    Pages 1-23

  3. The Classical Data Situation

    • Hans-Hermann Bock
    Pages 24-38

  4. Symbolic Data

    • Hans-Hermann Bock
    Pages 39-53

  5. Symbolic Objects

    • Hans-Hermann Bock, Edwin Diday
    Pages 54-77

  6. Generation of Symbolic Objects from Relational Databases

    • Véronique Stéphan, Georges Hébrail, Yves Lechevallier
    Pages 78-105

  7. Descriptive Statistics for Symbolic Data

    • Patrice Bertrand, Françoise Goupil
    Pages 106-124

  8. Visualizing and Editing Symbolic Objects

    • Monique Noirhomme-Fraiture, Manuel Rouard
    Pages 125-138

  9. Similarity and Dissimilarity

    • F. Esposito, D. Malerba, V. Tamma, H. H. Bock
    Pages 139-197

  10. Symbolic Factor Analysis

    • Hans-Hermann Bock, A. Chouakria, P. Cazes, E. Diday
    Pages 198-233

  11. Discrimination: Assigning Symbolic Objects to Classes

    • Jean-Paul Rasson, Sandrine Lissoir
    Pages 234-293

  12. Clustering Methods for Symbolic Objects

    • Marie Chavent, Hans-Hermann Bock
    Pages 294-341

  13. Symbolic Approaches for Three-way Data

    • Mireille Gettler-Summa, Catherine Pardoux
    Pages 342-354

  14. Illustrative Benchmark Analyses

    • Raymond Bisdorff
    Pages 355-385

  15. The SODAS Software Package

    • Alain Morineau
    Pages 386-391

  16. Back Matter

    Pages 392-425
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Keywords

About this book

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.

Editors and Affiliations

  • Institut für Statistik und Wirtschaftsmathematik, RWTH Aachen, Aachen, Germany

    Hans-Hermann Bock

  • LISE CEREMADE, Université Paris IX-Dauphine, Paris Cedex 16, France

    Edwin Diday

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