Crime scene investigation through DNA traces using Bayesian networks
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | |
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/24864 http://hdl.handle.net/10071/11718 |
Resumo: | The use of biological information in crime scene identification problems is becoming more and more common. In this work, a crime scene is presented and used to exemplify the use of Bayesian networks, to analyse the information contained in a mixture DNA trace, referring to a crime in which there are two victims’ and two suspect’s involved. It is also made some discussion about the hypotheses to be considered in order to make them compatible with the possible information extracted from the mixture trace that constitutes the evidence. |
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Crime scene investigation through DNA traces using Bayesian networksMixture tracesForensic identificationBayesian networksDNA profilingThe use of biological information in crime scene identification problems is becoming more and more common. In this work, a crime scene is presented and used to exemplify the use of Bayesian networks, to analyse the information contained in a mixture DNA trace, referring to a crime in which there are two victims’ and two suspect’s involved. It is also made some discussion about the hypotheses to be considered in order to make them compatible with the possible information extracted from the mixture trace that constitutes the evidence.Slovak Technical University in Bratislava2016-07-12T15:09:09Z2014-01-01T00:00:00Z20142016-07-12T15:07:21Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://ciencia.iscte-iul.pt/public/pub/id/24864http://hdl.handle.net/10071/11718eng1337-6365Andrade, 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:RCAAP2023-11-09T17:43:15Zoai:repositorio.iscte-iul.pt:10071/11718Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:20:20.406157Repositório 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 |
Crime scene investigation through DNA traces using Bayesian networks |
title |
Crime scene investigation through DNA traces using Bayesian networks |
spellingShingle |
Crime scene investigation through DNA traces using Bayesian networks Andrade, M. Mixture traces Forensic identification Bayesian networks DNA profiling |
title_short |
Crime scene investigation through DNA traces using Bayesian networks |
title_full |
Crime scene investigation through DNA traces using Bayesian networks |
title_fullStr |
Crime scene investigation through DNA traces using Bayesian networks |
title_full_unstemmed |
Crime scene investigation through DNA traces using Bayesian networks |
title_sort |
Crime scene investigation through DNA traces using Bayesian networks |
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 |
Mixture traces Forensic identification Bayesian networks DNA profiling |
topic |
Mixture traces Forensic identification Bayesian networks DNA profiling |
description |
The use of biological information in crime scene identification problems is becoming more and more common. In this work, a crime scene is presented and used to exemplify the use of Bayesian networks, to analyse the information contained in a mixture DNA trace, referring to a crime in which there are two victims’ and two suspect’s involved. It is also made some discussion about the hypotheses to be considered in order to make them compatible with the possible information extracted from the mixture trace that constitutes the evidence. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-01-01T00:00:00Z 2014 2016-07-12T15:09:09Z 2016-07-12T15:07:21Z |
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/24864 http://hdl.handle.net/10071/11718 |
url |
https://ciencia.iscte-iul.pt/public/pub/id/24864 http://hdl.handle.net/10071/11718 |
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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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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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1799134763687084032 |