A Bayesian methodology to study the simple maternity search problem

Detalhes bibliográficos
Autor(a) principal: Andrade, M.
Data de Publicação: 2014
Outros Autores: Ferreira, Manuel Alberto M.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://ciencia.iscte-iul.pt/public/pub/id/24865
http://hdl.handle.net/10071/11719
Resumo: The use of DNA profiles in forensic identification problems are common procedure nowadays. It was in England, in 1995, where the first DNA profiles database was built. It gave rise to new challenges concerning the forensic identification. Here it is intended to exemplify how to use the analysis of DNA profiles to solve the problem of simple maternity search. For this aim it is necessary to make use of a probabilistic expert system (PES), in this case an object-oriented Bayesian network (OOBN).
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spelling A Bayesian methodology to study the simple maternity search problemDNA profilesBayesian networksMaternity searchThe use of DNA profiles in forensic identification problems are common procedure nowadays. It was in England, in 1995, where the first DNA profiles database was built. It gave rise to new challenges concerning the forensic identification. Here it is intended to exemplify how to use the analysis of DNA profiles to solve the problem of simple maternity search. For this aim it is necessary to make use of a probabilistic expert system (PES), in this case an object-oriented Bayesian network (OOBN).Slovak Technical University in Bratislava2016-07-12T15:14:06Z2014-01-01T00:00:00Z20142016-07-12T15:13:02Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://ciencia.iscte-iul.pt/public/pub/id/24865http://hdl.handle.net/10071/11719eng1337-6365Andrade, M.Ferreira, Manuel Alberto M.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-09T17:33:45Zoai:repositorio.iscte-iul.pt:10071/11719Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:15:14.395872Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv A Bayesian methodology to study the simple maternity search problem
title A Bayesian methodology to study the simple maternity search problem
spellingShingle A Bayesian methodology to study the simple maternity search problem
Andrade, M.
DNA profiles
Bayesian networks
Maternity search
title_short A Bayesian methodology to study the simple maternity search problem
title_full A Bayesian methodology to study the simple maternity search problem
title_fullStr A Bayesian methodology to study the simple maternity search problem
title_full_unstemmed A Bayesian methodology to study the simple maternity search problem
title_sort A Bayesian methodology to study the simple maternity search problem
author Andrade, M.
author_facet Andrade, M.
Ferreira, Manuel Alberto M.
author_role author
author2 Ferreira, Manuel Alberto M.
author2_role author
dc.contributor.author.fl_str_mv Andrade, M.
Ferreira, Manuel Alberto M.
dc.subject.por.fl_str_mv DNA profiles
Bayesian networks
Maternity search
topic DNA profiles
Bayesian networks
Maternity search
description The use of DNA profiles in forensic identification problems are common procedure nowadays. It was in England, in 1995, where the first DNA profiles database was built. It gave rise to new challenges concerning the forensic identification. Here it is intended to exemplify how to use the analysis of DNA profiles to solve the problem of simple maternity search. For this aim it is necessary to make use of a probabilistic expert system (PES), in this case an object-oriented Bayesian network (OOBN).
publishDate 2014
dc.date.none.fl_str_mv 2014-01-01T00:00:00Z
2014
2016-07-12T15:14:06Z
2016-07-12T15:13:02Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://ciencia.iscte-iul.pt/public/pub/id/24865
http://hdl.handle.net/10071/11719
url https://ciencia.iscte-iul.pt/public/pub/id/24865
http://hdl.handle.net/10071/11719
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1337-6365
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Slovak Technical University in Bratislava
publisher.none.fl_str_mv Slovak Technical University in Bratislava
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
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collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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