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Marking and Generalization by Symbolic Objects in the Symbolic Official Data Analysis Software

Gettler-Summa, Mireille (2000), Marking and Generalization by Symbolic Objects in the Symbolic Official Data Analysis Software, in Kiers, Henk A. L.; Rasson, Jean-Paul; Groenen, Patrick J. F.; Schader, Martin, Data Analysis, Classification, and Related Methods, Springer : Berlin- Heidelberg, p. 414-422

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Type
Chapitre d'ouvrage
Date
2000
Book title
Data Analysis, Classification, and Related Methods
Book author
Kiers, Henk A. L.; Rasson, Jean-Paul; Groenen, Patrick J. F.; Schader, Martin
Publisher
Springer
Published in
Berlin- Heidelberg
ISBN
978-3-540-67521-1
Number of pages
428
Pages
414-422
Metadata
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Author(s)
Gettler-Summa, Mireille
CEntre de REcherches en MAthématiques de la DEcision [CEREMADE]
Abstract (EN)
In this paper we propose an automatic method of generating Symbolic Objects in the following framework: description of a partition by symbolic objects that takes into account two aspects, that may be called homogeneity and discrimination criteria. This method belongs to a family of algorithms named MGS (Marking and Generalization by Symbolic Objects),which may be applied either to Factorial Analysis interpretation, to interpretation of partitions or for summarizing huge databases.
Subjects / Keywords
MGS(Marking and Generalization by Symbolic Objects); Symbolic Data Analysis; Shannon Entropy; Symbolic Description; Symbolic Object; Discrimination Criterion; Artificial Intelligence Approach
JEL
D52 - Incomplete Markets