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Probabilistic estimation of uncertain temporal relations

dc.creatorRyabov, Vladimir
dc.date2001-12-01
dc.date.accessioned2022-03-03T19:57:12Z
dc.date.available2022-03-03T19:57:12Z
dc.identifierhttps://revistas.unab.edu.co/index.php/rcc/article/view/1115
dc.identifier.urihttp://test.repositoriodigital.com:8080/handle/123456789/13888
dc.descriptionA wide range of AI applications should manage time varying information, for example, temporal databases, reservation systems, keeping medical records, financial applications, planning. Many published research articles in the area of temporal representation and reasoning assume that temporal data is precise and certain, even though in reality this assumption is often false. In many situations there is a need to know the relation between two temporal intervals, as it is, for example, during query processing. Indeterminacy means that we do not know exactly when a particular event happened. When two temporal intervals are indeterminate it is in many cases impossible to derive a certain temporal relation between them.Keywords: Uncertain temporal relation, point, interval, probability.es-ES
dc.formatapplication/pdf
dc.languagespa
dc.publisherUniversidad Autónoma de Bucaramangaes-ES
dc.relationhttps://revistas.unab.edu.co/index.php/rcc/article/view/1115/1086
dc.rightsDerechos de autor 2001 Revista Colombiana de Computaciónes-ES
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/4.0es-ES
dc.sourceRevista Colombiana de Computación; Vol. 2 No. 2 (2001): Revista Colombiana de Computación (Julio-Diciembre); 1-17en-US
dc.sourceRevista Colombiana de Computación; Vol. 2 Núm. 2 (2001): Revista Colombiana de Computación (Julio-Diciembre); 1-17es-ES
dc.source2539-2115
dc.source1657-2831
dc.titleProbabilistic estimation of uncertain temporal relationses-ES
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion


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