Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/68943
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dc.contributor.advisorVives i Santa Eulàlia, Josep, 1963--
dc.contributor.advisorNebrera, Jaime-
dc.contributor.authorMartínez López, Carlos-
dc.date.accessioned2016-01-22T09:31:42Z-
dc.date.available2016-01-22T09:31:42Z-
dc.date.issued2015-06-30-
dc.identifier.urihttps://hdl.handle.net/2445/68943-
dc.descriptionTreballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2015, Director: Jaime Nebrera i Josep Vives i Santa Eulàliaca
dc.description.abstractThe large amount of data stored in the last two decades makes us to create new algorithms that can treat this information and elicit the desired statistical analysis. In this paper we study the algorithms that find the most common elements k, top-k in a dataset or in a Data Stream. The algorithms must make a minimum memory usage, so the results will be an estimate, trying to minimize possible error. At the end of this work will be expose own implementation.ca
dc.format.extent46 p.-
dc.format.mimetypeapplication/pdf-
dc.language.isospaca
dc.rightscc-by-nc-nd (c) Carlos Martínez López, 2015-
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es-
dc.sourceTreballs Finals de Grau (TFG) - Matemàtiques-
dc.subject.classificationAlgorismes computacionals-
dc.subject.classificationTreballs de fi de grau-
dc.subject.classificationProcessament de dadesca
dc.subject.classificationTeoria de l'estimacióca
dc.subject.classificationMineria de dadesca
dc.subject.otherComputer algorithms-
dc.subject.otherBachelor's theses-
dc.subject.otherData processingeng
dc.subject.otherEstimation theoryeng
dc.subject.otherData miningeng
dc.titleEstimación del top-$k$ca
dc.typeinfo:eu-repo/semantics/bachelorThesisca
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca
Appears in Collections:Programari - Treballs de l'alumnat
Treballs Finals de Grau (TFG) - Matemàtiques

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