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Advances in Theory and applications of High Dimensional and Symbolic Data Analysis

Collectif Revue Des Nouvelles Technologies De L'information,; Diday, Edwin; Saporta, Gilbert; Lechevallier, Yves; Guan, Rong; Wang, Huiwen (2020), Advances in Theory and applications of High Dimensional and Symbolic Data Analysis, Hermann : Paris

Type
Ouvrage
Date
2020
Publisher
Hermann
Published in
Paris
ISBN
978-2-7056-8733-5
Metadata
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Author(s)
Collectif Revue Des Nouvelles Technologies De L'information,

Diday, Edwin
CEntre de REcherches en MAthématiques de la DEcision [CEREMADE]
Saporta, Gilbert cc
Centre d'études et de recherche en informatique et communications [CEDRIC]
Lechevallier, Yves
Inria Paris-Rocquencourt
Guan, Rong
School of Economics and Management [Beijing] [BUAA]
Wang, Huiwen
School of Economics and Management [Beijing] [BUAA]
Abstract (EN)
This special issue is a following to the workshop entitled " Theory and Applications of High dimensional Complex and Symbolic Data Analysis in Economics and Management Science " which took place on October, 27 to October, 30 2011, at the School of Economics and Management, Beihang University, Beijing, China. 37 participants from 9 différent countries (Belgium, Brasil, China, France, Italy, Japan, Portugal, élèvenia, USA) attended this workshop. 24 communications have been présented. This issue corresponds to an extended version of the best contributions as well as original submissions in the same field; all have been submitted to a long and severe refereeing process. The major part of the 12 papers of this special issue are about symbolic data analysis as well in an exploratory context (PCA of interval data), as in a predictive one (regression with histogram data). The other contributions give an overview of applications in some very active fields of Data Mining: social networks, recommendation systems, grouped data.
Subjects / Keywords
Probabilités et statistiques; Jeux et vulgarisation scientifiques

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