Chapter 1. The State of the Art in Symbolic Data Analysis: Overview and Future

  1. Edwin Diday1 and
  2. Monique Noirhomme-Fraiture2
  1. Edwin Diday

Published Online: 28 JAN 2008

DOI: 10.1002/9780470723562.ch1

Symbolic Data Analysis and the SODAS Software

Symbolic Data Analysis and the SODAS Software

How to Cite

Diday, E. (2008) The State of the Art in Symbolic Data Analysis: Overview and Future, in Symbolic Data Analysis and the SODAS Software (eds E. Diday and M. Noirhomme-Fraiture), John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470723562.ch1

Editor Information

  1. 1

    Université Paris IX-Dauphine, LISE-CEREMADE, Place du Marechal de Lattre de Tassigny, Paris Cedex 16, France F-75775

  2. 2

    Facultés Universitaires Notre-Dame de la Paix, Faculté d'Informatique, Rue Grandgagnage, 21, Namur, Belgium, B-5000

Author Information

  1. Université Paris IX-Dauphine, LISE-CEREMADE, Place du Marechal de Lattre de Tassigny, Paris Cedex 16, France F-75775

Publication History

  1. Published Online: 28 JAN 2008
  2. Published Print: 18 JAN 2007

ISBN Information

Print ISBN: 9780470018835

Online ISBN: 9780470723562

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Keywords:

  • interval-valued variable;
  • single numerical or categorical value;
  • infimum and supremum;
  • symbolic data analysis;
  • hierarchically dependent variables;
  • spatial-temporal data or heterogeneous data;
  • Amanita muscaria, and Amanita phalloides;
  • Uncertainty, randomness and symbolic data;
  • polynomial computation time;
  • dynamical clusters method

Summary

This chapter contains sections titled:

  • Introduction

  • From standard data tables to symbolic data tables

  • From individuals to categories, classes and concepts

  • Some general applications of the symbolic data analysis approach

  • The main steps and principles of a symbolic data analysis

  • Modelling concepts by symbolic objects

  • Underlying structures of symbolic objects: a generalized conceptual lattice

  • Book overview

  • Conclusion: past, present and future of symbolic data analysis

  • References