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dc.creatorViloria Silva, Amelec Jesus
dc.creatorPalacio de la Cruz, Stefany
dc.creatorHernández Ureche, Jannys
dc.creatorGarcia Tamayo, Diana Marcela
dc.creatorNeira Molina, Harold Roberto
dc.creatorHernandez P, Hugo
dc.creatorMartinez Ventura, Jairo Luis
dc.creatorRomero, Ligia
dc.date.accessioned2019-08-31T03:11:58Z
dc.date.available2019-08-31T03:11:58Z
dc.date.issued2019-07-26
dc.identifier.issn1865-0929
dc.identifier.urihttp://hdl.handle.net/11323/5230
dc.description.abstractThe analysis of criminal information is critical for the purpose of preventing the occurrence of offenses, so the crime records committed in the past are analyzed including perpetrators. The main objective was to identify crime patterns in the city of Bogota, Colombia, supported using Early Warning System based on data mining (CRISP-DM method). The research results show the identification of 12 different criminal profiles demonstrating that the Early Warning System is applicable since it managed to significantly reduce the time devoted to the processes of registering complaints and searching for criminal profiles.spa
dc.description.sponsorshipUniversidad Peruana de Ciencias Aplicadas, Universidad de la Costa, Corporación Universitaria Latinoamericana.spa
dc.language.isoengspa
dc.publisherCommunications in Computer and Information Sciencespa
dc.relation.ispartofhttps://doi.org/10.1007/978-981-32-9563-6_27spa
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/*
dc.subjectCriminal patternsspa
dc.subjectEarly warningspa
dc.subjectData miningspa
dc.subjectData oupingspa
dc.titleEarly warning system based on data mining to identify crime patternsspa
dc.typePreprintspa
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dc.type.hasVersioninfo:eu-repo/semantics/draftspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa


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