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dc.contributor.authorCadavid Rengifo, Héctor Fabio
dc.contributor.authorCely Higuera, Jorge Humberto
dc.contributor.authorGarcía Segura, Juan Pablo
dc.date.accessioned2021-12-03T16:03:34Z
dc.date.available2021-12-03T16:03:34Z
dc.date.issued2011
dc.identifier.issn22562567
dc.identifier.urihttps://repositorio.escuelaing.edu.co/handle/001/1888
dc.description.abstractEn este artículo se presenta la herramienta Intellifilter para el filtrado de contenidos de internet no aptos para niños, basada en un conjunto de técnicas de aprendizaje supervisado1 para clasificación de texto e imágenes, junto con una infraestructura de interceptación de peticiones HTTP basada en software. Cuando Intellifilter esté habilitado en un equipo o red en particular, todos los contenidos solicitados mediante el protocolo HTTP serán evaluados por un conjunto de clasificadores previamente entrenados y, de acuerdo con el resultado de dicha categorización, se aceptará o no su entrega al destinatario original. Aunque la herramienta aún se encuentra en una fase ‘beta’, los resultados experimentales obtenidos con las técnicas utilizadas muestran resultados promisorios que indican que éste puede ser un buen punto de partida para el desarrollo de mecanismos de control de los contenidos de internet.eng
dc.description.abstractThis article presents the Intellifilter tool for filtering Internet content not suitable for children, based on a set of supervised learning techniques1 for text and image classification, together with a software-based HTTP request interception infrastructure. When Intellifilter is enabled on a particular computer or network, all content requested via the HTTP protocol will be evaluated by a set of previously trained classifiers and, based on the result of said categorization, its delivery to the original recipient will be accepted or not. Although the tool is still in a 'beta' phase, the experimental results obtained with the techniques used show promising results that indicate that this may be a good starting point for the development of Internet content control mechanisms.ENG
dc.format.extent12 páginas.spa
dc.format.mimetypeapplication/pdfspa
dc.language.isospaspa
dc.publisherREDISspa
dc.titleIntellifilter: sistema de filtrado parental soportado por aprendizaje maquinal supervisadospa
dc.typeArtículo de revistaspa
dc.type.versioninfo:eu-repo/semantics/publishedVersionspa
oaire.accessrightshttp://purl.org/coar/access_right/c_14cbspa
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85spa
dc.contributor.researchgroupInformáticaspa
dc.publisher.placeColombiaspa
dc.relation.citationissue4spa
dc.relation.citationvolume4spa
dc.relation.indexedN/Aspa
dc.relation.ispartofjournalRevista de la Red Colombiana de Programas de Ingeniería de Sistemas y Afinesspa
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dc.relation.referencesYoungsoo, K. and Taekyong, N. (2006, February). An efficient text filter for adult web documents. 1, p. 3.spa
dc.relation.referencesKotsiantis, S.B. (2007). Supervised machine learning: a review of classification techniques. Informática, 31(3), pp. 249-268.spa
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dc.relation.referencesXuanjing, Shen, Wei Wei, Quingji Qian. (2997). The filtering of internet images based on detecting erotogenic part. In ICNC '07: Proceedings of the Third International Conference on Natural Computation, pages 732-736. Washington, D.C., USA. IEEE Computer Society.spa
dc.relation.referencesVaradharajan, V. (2010, July). Internet filtering issues and challenges. Security Privacy, IEEE, 8(4), pp. 62-65.spa
dc.relation.referencesYi-Ding, W. and Jing-Nan, G. (2009, July). A method of erotic images filtering in real internet, 3, pp. 1477-1481.spa
dc.relation.referencesQing-Fang, Z. and Wei Zeng, G.W. (2004). Shape-basedadult image detection. In ICIG '04: Proceedings of the Third International Conference on Image and Graphics, pp. 150-153. Washington, D.C., USA. IEEE Computer Society.spa
dc.relation.referencesThe free dictionary. URL: http://encyclopedia2.thefreedictionary.com/Internet+proxy.spa
dc.relation.referencesAlpaydin, E. (2004). Introduction to machine learning. MIT Press.spa
dc.relation.referencesSitio web de Ensing Solutions, consultor en IT y proveedor de NetNanny, URL: http://contentprotect.co.uk/dca.html.spa
dc.relation.referencesSitio web de CyberPatrol. URL: http://www.cyberpatrol.com/research/sitecat.asp.spa
dc.rights.accessrightsinfo:eu-repo/semantics/closedAccessspa
dc.subject.armarcWeb filterENG
dc.subject.armarcComputational intelligenceENG
dc.subject.armarcDecision treesENG
dc.subject.armarcNeural networksENG
dc.subject.armarcIntellifilterENG
dc.subject.proposalfiltro webspa
dc.subject.proposalinteligencia computacionalspa
dc.subject.proposalárboles de decisiónspa
dc.subject.proposalredes neuronalesspa
dc.subject.proposalnaive bayesspa
dc.subject.proposalclasificaciónspa
dc.subject.proposalproxyspa
dc.subject.proposalbrowserspa
dc.type.coarhttp://purl.org/coar/resource_type/c_6501spa
dc.type.contentTextspa
dc.type.driverinfo:eu-repo/semantics/articlespa
dc.type.redcolhttp://purl.org/redcol/resource_type/ARTspa


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