Extending RCA algorithm to consider ternary relations
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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