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dc.creatorRottoli, Giovanni Daián
dc.creatorMerlino, Hernán Daniel
dc.creatorGarcía Martínez, Ramón
dc.date.accessioned2018-11-30T23:43:53Z
dc.date.available2018-11-30T23:43:53Z
dc.date.issued2017
dc.identifier.citationAdvances in Artificial Intelligence: From Theory to Practice 10350: 221-226 (2017)es_ES
dc.identifier.urihttp://hdl.handle.net/20.500.12272/3308
dc.description.abstractThe co-location discovery process serves to find subsets of spatial features frequently located together. Many algorithms and methods have been designed in recent years; however, finding this kind of patterns around specific spatial features is a task in which the existing solutions provide incorrect results. Throughout this paper we propose a knowledge discovery process to find co-location patterns focused on reference features using decision tree learning algorithms on transactional data generated using maximal cliques. A validation test of this process is provided.es_ES
dc.formatapplication/pdfes_ES
dc.language.isoenges_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectCo-location patternses_ES
dc.subjectSpatial data mininges_ES
dc.subjectDecision trees algorithmses_ES
dc.subjectMaximal cliqueses_ES
dc.subjectKnowledge discovery processes_ES
dc.titleCo-location Rules Discovery Process Focused on Reference Spatial Features Using Decision Tree Learninges_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holderRottoli, Giovanni Daián ; Merlino, Hernán Daniel ; García Martínez, Ramónes_ES
dc.description.affiliationFil: Rottoli, Giovanni Daián. Universidad Tecnológica Nacional. Facultad Regional de Concepción del Uruguay; Argentina. Universidad Nacional de La Plata; Argentina. Universidad Nacional de Lanús; Argentina.es_ES
dc.description.affiliationFil: Merlino, Hernán Daniel. Universidad Nacional de Lanús; Argentina.es_ES
dc.description.affiliationFil: García Martínez, Ramón. Universidad Nacional de Lanús; Argentina. CIC Bs As; Argentinaes_ES
dc.description.peerreviewedPeer Reviewedes_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_ES
dc.type.snrdinfo:ar-repo/semantics/artículoes_ES
dc.rights.useNo comercial con fines académicoses_ES
dc.rights.useAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.identifier.doihttps://doi.org/10.1007/978-3-319-60042-0_25


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