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dc.contributor.authorBaixeries i Juvillà, Jaume
dc.contributor.authorNapoli, Amedeo
dc.contributor.authorKaytoue, Mehdi
dc.contributor.authorCodecedo, Victor
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Ciències de la Computació
dc.date.accessioned2016-10-13T14:42:16Z
dc.date.available2016-10-13T14:42:16Z
dc.date.issued2016
dc.identifier.citationBaixeries, J., Napoli, A., Kaytoue, M., Codecedo, V. characterization of order-like dependencies with formal concept analysis. A: International Workshop. "FCA4AI 2016: 5th International Workshop". The Hague: 2016, p. 121-128.
dc.identifier.urihttp://hdl.handle.net/2117/90752
dc.description.abstractFunctional Dependencies (FDs) play a key role in many fields of the relational database model, one of the most widely used database systems. FDs have also been applied in data analysis, data quality, knowledge discovery and the like, but in a very limited scope, because of their fixed semantics. To overcome this limitation, many generalizations have been defined to relax the crisp definition of FDs. FDs and a few of their generalizations have been characterized with Formal Concept Analysis which reveals itself to be an interesting unified framework for characterizing dependencies, that is, understanding and computing them in a formal way. In this paper, we extend this work by taking into account order-like dependencies. Such dependencies, well defined in the database field, consider an ordering on the domain of each attribute, and not simply an equality relation as with standard FDs
dc.format.extent8 p.
dc.language.isoeng
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Arquitectura de computadors
dc.subject.lcshComputer science
dc.subject.lcshDatabase management
dc.titlecharacterization of order-like dependencies with formal concept analysis
dc.typeConference report
dc.subject.lemacInformàtica
dc.subject.lemacInformació -- Sistemes d'emmagatzematge i recuperació
dc.contributor.groupUniversitat Politècnica de Catalunya. LARCA - Laboratori d'Algorísmia Relacional, Complexitat i Aprenentatge
dc.rights.accessOpen Access
local.identifier.drac19101724
dc.description.versionPostprint (published version)
local.citation.authorBaixeries, J.; Napoli, A.; Kaytoue, M.; Codecedo, V.
local.citation.contributorInternational Workshop
local.citation.pubplaceThe Hague
local.citation.publicationNameFCA4AI 2016: 5th International Workshop
local.citation.startingPage121
local.citation.endingPage128


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