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Far beyond the classical data models: symbolic data analysis

Authors

  • Monique Noirhomme-Fraiture,

    1. Faculté d'Informatique, Facultés Universitaires Notre-Dame de la Paix (FUNDP), Rue Grandgagnage, 21, B-5000 Namur, Belgium
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  • Paula Brito

    Corresponding author
    1. Faculdade de Economia & LIAAD/INESC Porto LA, Universidade do Porto, Rua Dr. Roberto Frias, 4200-464 Porto, Portugal
    • Faculdade de Economia & LIAAD/INESC Porto LA, Universidade do Porto, Rua Dr. Roberto Frias, 4200-464 Porto, Portugal
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Abstract

This paper introduces symbolic data analysis, explaining how it extends the classical data models to take into account more complete and complex information. Several examples motivate the approach, before the modeling of variables assuming new types of realizations are formally presented. Some methods for the (multivariate) analysis of symbolic data are presented and discussed. This is however far from being exhaustive, given the present dynamic development of this new field of research. © 2011 Wiley Periodicals, Inc. Statistical Analysis and Data Mining 4: 157–170, 2011

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