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dc.contributorRomero Moral, Óscar
dc.contributorAbelló Gamazo, Alberto
dc.contributorJovanovic, Petar
dc.contributor.authorNadal Francesch, Sergi
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Serveis i Sistemes d'Informació
dc.date.accessioned2015-11-18T10:12:37Z
dc.date.available2015-11-18T10:12:37Z
dc.date.issued2015-09-04
dc.identifier.urihttp://hdl.handle.net/2117/79393
dc.description.abstractIn this thesis we present Forge, a tool for automating multi-objective materialization of intermediate results in data-intensive flows, driven by a set of different quality objectives. We report initial evaluation results, showing the feasibility and efficiency of our approach.
dc.language.isoeng
dc.publisherUniversitat Politècnica de Catalunya
dc.subjectÀrees temàtiques de la UPC::Informàtica::Sistemes d'informació::Bases de dades
dc.subject.lcshData warehousing
dc.subject.lcshMathematical optimization
dc.subject.othermaterialized view selection
dc.subject.othermulti-objective optimization
dc.subject.otherETL
dc.subject.othermaterialized view selection
dc.subject.othermulti-objective optimization
dc.titleMulti-Objective Materialized View Selection in Data-Intensive Flows
dc.typeMaster thesis
dc.subject.lemacGestor de dades
dc.subject.lemacOptimització matemàtica
dc.identifier.slug108932
dc.rights.accessOpen Access
dc.date.updated2015-10-01T04:00:30Z
dc.audience.educationlevelMàster
dc.audience.mediatorFacultat d'Informàtica de Barcelona


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