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dc.contributor.authorLopez del Alamo, Cristian
dc.contributor.authorDávila Guillen, Guillermo
dc.contributor.authorCastillo Galdos, Lorena
dc.date.accessioned2018-11-23T18:13:26Z
dc.date.available2018-11-23T18:13:26Z
dc.date.issued2017-06-17
dc.identifier.issn2326-9332
dc.identifier.urihttp://repositorio.ulasalle.edu.pe/handle/20.500.12953/48
dc.description.abstractMost methods used to compare text documents are based on the space vector model; however, this model does not capture the relations between words, which is considered necessary to make better comparisons. In this research, we propose a method based on the creation of graphs to get semantic relations between words and we adapt algorithms of the theory of non-rigid 3D model analysis.es_ES
dc.formatapplication/mswordes_ES
dc.language.isoengeng_US
dc.publisherIMMM 2017 : The Seventh International Conference on Advances in Information Mining and Managementes_ES
dc.relationinfo:eu-repo/semantics/conferenceObjectes_ES
dc.relation.urihttps://www.thinkmind.org/index.php?view=article&articleid=immm_2017_4_10_50003es_ES
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_ES
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/es_ES
dc.sourceRepositorio Institucional - ULASALLEes_ES
dc.subjectProgramación informática, programas, datoses_ES
dc.titleA new graph-based approach for document similarity using concepts of non-rigid shapeses_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.identifier.journalIMMM 2017 : The Seventh International Conference on Advances in Information Mining and Managementes_ES
dc.description.peer-reviewDoble- Ciegoes_ES
dc.subject.ocdeResearch Subject Categories::TECHNOLOGY::Information technology::Computer sciencees_ES


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