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hal.structure.identifier
dc.contributor.authorCollectif Revue Des Nouvelles Technologies De L'information,
hal.structure.identifierCEntre de REcherches en MAthématiques de la DEcision [CEREMADE]
dc.contributor.authorDiday, Edwin
hal.structure.identifierCentre d'études et de recherche en informatique et communications [CEDRIC]
dc.contributor.authorSaporta, Gilbert
HAL ID: 180161
ORCID: 0000-0002-3406-5887
hal.structure.identifierInria Paris-Rocquencourt
dc.contributor.authorLechevallier, Yves
hal.structure.identifierSchool of Economics and Management [Beijing] [BUAA]
dc.contributor.authorGuan, Rong
hal.structure.identifierSchool of Economics and Management [Beijing] [BUAA]
dc.contributor.authorWang, Huiwen
dc.date.accessioned2020-06-09T10:15:57Z
dc.date.available2020-06-09T10:15:57Z
dc.date.issued2020
dc.identifier.isbn978-2-7056-8733-5en
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/20854
dc.language.isoenen
dc.subjectProbabilités et statistiquesen
dc.subjectJeux et vulgarisation scientifiquesen
dc.subject.ddc515en
dc.titleAdvances in Theory and applications of High Dimensional and Symbolic Data Analysisen
dc.title.alternativeRevue des nouvelles technologies de l'informationen
dc.typeOuvrage
dc.description.abstractenThis 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.en
dc.publisher.nameHermannen
dc.publisher.cityParisen
dc.contributor.countryeditoruniversityotherFRANCE
dc.subject.ddclabelAnalyseen
dc.identifier.citationdate2020-06
dc.relation.forthcomingnonen
dc.description.ssrncandidatenonen
dc.description.halcandidatenonen
dc.description.readershiprechercheen
dc.description.audienceInternationalen
dc.date.updated2020-06-09T10:10:44Z
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