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New skills in symbolic data analysis for official statistics

dc.contributor.authorVerde, Rosanna
dc.contributor.authorBatagelj, Vladimir
dc.contributor.authorBrito, Paula
dc.contributor.authorSilva, A. Pedro Duarte
dc.contributor.authorKorenjak-Černe, Simona
dc.contributor.authorDobša, Jasminka
dc.contributor.authorDiday, Edwin
dc.date.accessioned2024-09-24T11:51:43Z
dc.date.available2024-09-24T11:51:43Z
dc.date.issued2024-08-27
dc.description.abstractThe paper draws attention to the use of Symbolic Data Analysis (SDA) in the field of Official Statistics. It is composed of three sections presenting three pilot techniques in the field of SDA. The three contributions range from a technique based on the notion of exactly unified summaries for the creation of symbolic objects, a model-based approach for interval data as an innovative parametric strategy in this context, and measures of similarity defined between a class and a collection of classes based on the frequency of the categories which characterize them. The paper shows the effectiveness of the proposed approaches as prototypes of numerous techniques developed within the SDA framework and opens to possible further developments.pt_PT
dc.description.versioninfo:eu-repo/semantics/acceptedVersionpt_PT
dc.identifier.doi10.3233/SJI-240013pt_PT
dc.identifier.eid85203519606
dc.identifier.issn1874-7655
dc.identifier.urihttp://hdl.handle.net/10400.14/46662
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.subjectAggregate datapt_PT
dc.subjectInterval datapt_PT
dc.subjectMergeable summariespt_PT
dc.subjectS-concordancept_PT
dc.subjectS-discordancept_PT
dc.titleNew skills in symbolic data analysis for official statisticspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage579pt_PT
oaire.citation.startPage563pt_PT
oaire.citation.titleStatistical Journal of the IAOSpt_PT
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT

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