Document clustering for forensic analysis: an approach for improving computer inspection (2013)
- Authors:
- Autor USP: HRUSCHKA, EDUARDO RAUL - ICMC
- Unidade: ICMC
- DOI: 10.1109/TIFS.2012.2223679
- Assunto: INTELIGÊNCIA ARTIFICIAL
- Language: Inglês
- Imprenta:
- Publisher place: Piscataway
- Date published: 2013
- Source:
- Título do periódico: IEEE Transactions on Information Forensics and Security
- ISSN: 1556-6013
- Volume/Número/Paginação/Ano: v. 8, n. 1, p. 46-54, jan. 2013
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
NASSIF, Luís Filipe da Cruz e HRUSCHKA, Eduardo Raul. Document clustering for forensic analysis: an approach for improving computer inspection. IEEE Transactions on Information Forensics and Security, v. 8, n. ja 2013, p. 46-54, 2013Tradução . . Disponível em: https://doi.org/10.1109/TIFS.2012.2223679. Acesso em: 24 abr. 2024. -
APA
Nassif, L. F. da C., & Hruschka, E. R. (2013). Document clustering for forensic analysis: an approach for improving computer inspection. IEEE Transactions on Information Forensics and Security, 8( ja 2013), 46-54. doi:10.1109/TIFS.2012.2223679 -
NLM
Nassif LF da C, Hruschka ER. Document clustering for forensic analysis: an approach for improving computer inspection [Internet]. IEEE Transactions on Information Forensics and Security. 2013 ; 8( ja 2013): 46-54.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1109/TIFS.2012.2223679 -
Vancouver
Nassif LF da C, Hruschka ER. Document clustering for forensic analysis: an approach for improving computer inspection [Internet]. IEEE Transactions on Information Forensics and Security. 2013 ; 8( ja 2013): 46-54.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1109/TIFS.2012.2223679 - An experimental study on the use of nearest neighbor-based imputation algorithms for classification tasks
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Informações sobre o DOI: 10.1109/TIFS.2012.2223679 (Fonte: oaDOI API)
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