Extending RCA algorithm to consider ternary relations

cic.institucionOrigen Laboratorio de Investigación y Formación en Informática Avanzada (LIFIA)
cic.lugarDesarrollo Laboratorio de Investigación y Formación en Informática Avanzada (LIFIA)
cic.parentType Objeto de conferencia
dc.date.accessioned 2022-08-01T12:52:20Z
dc.date.available 2022-08-01T12:52:20Z
dc.identifier.uri https://digital.cic.gba.gob.ar/handle/11746/11617
dc.title Extending RCA algorithm to consider ternary relations en
dc.type Documento de conferencia es
dcterms.abstract Relational Concept Analysis (RCA) is a multirelational data mining method that aims to extract knowledge from multiple formal contexts (i.e., objects, attributes, and a binary relation between them) and the relations between them. One of the problems RCA has is the lack of the possibility of extracting knowledge directly from data that is represented with ternary relations. While there are some existing solutions towards this problem, either they require complex preprocessing of the input data, or they lose some capabilities of RCA such as the different meanings of the relations between concepts (∃, ∀, etc). In this work, we present an intuitive extension to RCA to be able to use it with data directly represented with ternary relations. As an example of its usage, we apply it to a dataset called Knomana which includes ternary relations en
dcterms.creator.author Leutwyler, Nicolás
dcterms.creator.author Lezoche, Mario
dcterms.creator.author Panetto, Hervé
dcterms.creator.author Torres, Diego
dcterms.description Publicado en : ISOS Conference Proceedings Series.
dcterms.identifier.isbn 978-86-85525-24-7
dcterms.identifier.url https://www.eventiotic.com/eventiotic/files/Papers/URL/771a0ac6-0487-4092-8ee0-617010b1a04a.pdf
dcterms.identifier.url https://www.eventiotic.com/eventiotic/files/Papers/URL/771a0ac6-0487-4092-8ee0-617010b1a04a.pdf
dcterms.isPartOf.series ICIST 2022 - 12th International Conference on Information Society and Technology (Serbia, 13 al 16 de mayo de 2022)
dcterms.issued 2022
dcterms.subject Knowledge representation en
dcterms.subject Formal Concept Analysis en
dcterms.subject Relational Concept Analysis en
dcterms.subject Ternary relations en
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