Show simple item record

dc.contributor.authorLezcano Ríos, Christian Gerardo
dc.contributor.authorArias Vicente, Marta
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Computació
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Ciències de la Computació
dc.date.accessioned2020-07-16T07:35:56Z
dc.date.available2020-07-16T07:35:56Z
dc.date.issued2019
dc.identifier.citationLezcano, C.; Arias, M. Synthetic dataset generation with itemset-based generative models. A: IEEE International Symposium on Software Reliability Engineering. "2019 IEEE 30th International Symposium on Software Reliability Engineering Workshops: 28–31 October 2019, Berlin, Germany". Institute of Electrical and Electronics Engineers (IEEE), 2019, p. 288-293.
dc.identifier.isbn978-1-7281-5138-0
dc.identifier.urihttp://hdl.handle.net/2117/193002
dc.description.abstractThis paper proposes three different data generators, tailored to transactional datasets, based on existing itemset-based generative models. All these generators are intuitive and easy to implement and show satisfactory performance. The quality of each generator is assessed by means of three different methods that capture how well the original dataset structure is preserved.
dc.description.sponsorshipBoth authors have been partially supported by TIN2017-89244-R from MINECO (Spain’s Ministerio de Economia, Industria y Competitividad) and the recognition 2017SGR-856 (MACDA) from AGAUR (Generalitat de Catalunya). Christian Lezcano is supported by Paraguay’s Foreign Postgraduate Scholarship Programme Don Carlos Antonio López (BECAL).
dc.format.extent6 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectÀrees temàtiques de la UPC::Informàtica::Intel·ligència artificial
dc.subject.lcshData mining
dc.subject.otherGenerative models
dc.subject.otherItemset mining
dc.subject.otherData generation
dc.titleSynthetic dataset generation with itemset-based generative models
dc.typeConference report
dc.subject.lemacMineria de dades
dc.contributor.groupUniversitat Politècnica de Catalunya. LARCA - Laboratori d'Algorísmia Relacional, Complexitat i Aprenentatge
dc.identifier.doi10.1109/ISSREW.2019.00086
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/8990348
dc.rights.accessOpen Access
local.identifier.drac28854943
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2017-89244-R/ES/GESTION Y ANALISIS DE DATOS COMPLEJOS/
local.citation.authorLezcano, C.; Arias, M.
local.citation.contributorIEEE International Symposium on Software Reliability Engineering
local.citation.publicationName2019 IEEE 30th International Symposium on Software Reliability Engineering Workshops: 28–31 October 2019, Berlin, Germany
local.citation.startingPage288
local.citation.endingPage293


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record