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A scalable decision-tree-based method to explain interactions in dyadic data

dc.contributor.authorEiras Franco, C.
dc.contributor.authorGuijarro Berdiñas, B.
dc.contributor.authorAlonso Betanzos, A.
dc.contributor.authorBahamonde Rionda, Antonio 
dc.date.accessioned2020-01-23T08:17:23Z
dc.date.available2020-01-23T08:17:23Z
dc.date.issued2019
dc.identifier.citationDecision Support Systems, 127, p. 113141- (2019); doi:10.1016/j.dss.2019.113141
dc.identifier.issn0167-9236
dc.identifier.urihttp://hdl.handle.net/10651/53678
dc.description.sponsorshipThis research has been supported in part by the Spanish Ministerio de Economía y Competitividad (projects TIN 2015-65069-C2-1-R and 2-R), partially funded by FEDER funds of the EU and by the Xunta de Galicia (projects ED431C 2018/34 and Centro Singular de Investigación de Galicia, accreditation 2016–2019). The authors wish to thank the Fundación Pública Galega Centro Tecnolóxico de Supercomputación de Galicia (CESGA) for the use of their computing resources. We also thank Jorge Díez, Pablo Pérez and Oscar Luaces for providing the data needed to construct the (Outbrain_DAY1) dataset and for their assistance in an early stage of this project.
dc.format.extentp. 113141-
dc.language.isoeng
dc.relation.ispartofDecision Support Systems
dc.rights© 2019 Elsevier B.V. All rights reserved.
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85071838770&doi=10.1016%2fj.dss.2019.113141&partnerID=40&md5=50fcfebf26c3e557eec635e2eba1cfd4
dc.titleA scalable decision-tree-based method to explain interactions in dyadic data
dc.typejournal article
dc.identifier.doi10.1016/j.dss.2019.113141
dc.relation.projectIDTIN 2015-65069-C2-1-R
dc.relation.projectIDTIN 2015-65069-C2-2-R
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.dss.2019.113141
dc.rights.accessRightsopen access
dc.type.hasVersionAM


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