Bagging k-dependence probabilistic networks: an alternative powerful fraud detection tool (2012)
- Authors:
- Autor USP: LOUZADA NETO, FRANCISCO - ICMC
- Unidade: ICMC
- DOI: 10.1016/j.eswa.2012.04.024
- Subjects: ESTATÍSTICA APLICADA; INFERÊNCIA BAYESIANA; INFERÊNCIA ESTATÍSTICA
- Language: Inglês
- Imprenta:
- Source:
- Título: Expert Systems with Applications
- ISSN: 0957-4174
- Volume/Número/Paginação/Ano: v. 39, n. 14, p. 11583\201311592, out 2012
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
LOUZADA, Francisco e ARA, Anderson. Bagging k-dependence probabilistic networks: an alternative powerful fraud detection tool. Expert Systems with Applications, v. 39, n. 14, p. 11583\201311592, 2012Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2012.04.024. Acesso em: 31 jan. 2026. -
APA
Louzada, F., & Ara, A. (2012). Bagging k-dependence probabilistic networks: an alternative powerful fraud detection tool. Expert Systems with Applications, 39( 14), 11583\201311592. doi:10.1016/j.eswa.2012.04.024 -
NLM
Louzada F, Ara A. Bagging k-dependence probabilistic networks: an alternative powerful fraud detection tool [Internet]. Expert Systems with Applications. 2012 ; 39( 14): 11583\201311592.[citado 2026 jan. 31 ] Available from: https://doi.org/10.1016/j.eswa.2012.04.024 -
Vancouver
Louzada F, Ara A. Bagging k-dependence probabilistic networks: an alternative powerful fraud detection tool [Internet]. Expert Systems with Applications. 2012 ; 39( 14): 11583\201311592.[citado 2026 jan. 31 ] Available from: https://doi.org/10.1016/j.eswa.2012.04.024 - Novos modelos de regressão binária usando funções de ligação simétricas e assimétricas
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Informações sobre o DOI: 10.1016/j.eswa.2012.04.024 (Fonte: oaDOI API)
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