Crime scene investigation with Bayesian probabilistic expert systems
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10071/5946 |
Resumo: | Criminal identification problems are examples of situations in which forensic approach the DNA profiles study is a common procedure. In order to deal with these problems it is needed an introduction to present and explain the various concepts involved, since distinct areas must be considered. Some problems are presented and the use of the object-oriented Bayesian networks, example of probabilistic expert systems, is shown. |
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Crime scene investigation with Bayesian probabilistic expert systemsProbabilistic expert systemsBayesian networksDNA profilesIdentification problemsCriminal identification problems are examples of situations in which forensic approach the DNA profiles study is a common procedure. In order to deal with these problems it is needed an introduction to present and explain the various concepts involved, since distinct areas must be considered. Some problems are presented and the use of the object-oriented Bayesian networks, example of probabilistic expert systems, is shown.Scientific and Academic Publishing2013-11-12T16:31:36Z2012-01-01T00:00:00Z2012info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/5946eng2163-1409Andrade, MarinaFerreira, 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:RCAAP2023-11-09T17:49:32Zoai:repositorio.iscte-iul.pt:10071/5946Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:24:20.392485Repositório 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 with Bayesian probabilistic expert systems |
title |
Crime scene investigation with Bayesian probabilistic expert systems |
spellingShingle |
Crime scene investigation with Bayesian probabilistic expert systems Andrade, Marina Probabilistic expert systems Bayesian networks DNA profiles Identification problems |
title_short |
Crime scene investigation with Bayesian probabilistic expert systems |
title_full |
Crime scene investigation with Bayesian probabilistic expert systems |
title_fullStr |
Crime scene investigation with Bayesian probabilistic expert systems |
title_full_unstemmed |
Crime scene investigation with Bayesian probabilistic expert systems |
title_sort |
Crime scene investigation with Bayesian probabilistic expert systems |
author |
Andrade, Marina |
author_facet |
Andrade, Marina Ferreira, Manuel Alberto M. |
author_role |
author |
author2 |
Ferreira, Manuel Alberto M. |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Andrade, Marina Ferreira, Manuel Alberto M. |
dc.subject.por.fl_str_mv |
Probabilistic expert systems Bayesian networks DNA profiles Identification problems |
topic |
Probabilistic expert systems Bayesian networks DNA profiles Identification problems |
description |
Criminal identification problems are examples of situations in which forensic approach the DNA profiles study is a common procedure. In order to deal with these problems it is needed an introduction to present and explain the various concepts involved, since distinct areas must be considered. Some problems are presented and the use of the object-oriented Bayesian networks, example of probabilistic expert systems, is shown. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012-01-01T00:00:00Z 2012 2013-11-12T16:31:36Z |
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 |
http://hdl.handle.net/10071/5946 |
url |
http://hdl.handle.net/10071/5946 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2163-1409 |
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 |
Scientific and Academic Publishing |
publisher.none.fl_str_mv |
Scientific and Academic Publishing |
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 |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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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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1799134805276753920 |