A Naïve Bayes model based on overlapping groups for link prediction in online social networks (2015)
- Authors:
- Autor USP: LOPES, ALNEU DE ANDRADE - ICMC
- Unidade: ICMC
- DOI: 10.1145/2695664.2695719
- Subjects: INTELIGÊNCIA ARTIFICIAL; MINERAÇÃO DE DADOS; PROCESSAMENTO DE LINGUAGEM NATURAL
- Language: Inglês
- Imprenta:
- ISBN: 9781450331968
- Source:
- Título do periódico: Proceedings
- Conference titles: Symposium on Applied Computing - SAC
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
VALVERDE-REBAZA, Jorge et al. A Naïve Bayes model based on overlapping groups for link prediction in online social networks. 2015, Anais.. New York: ACM, 2015. Disponível em: https://doi.org/10.1145/2695664.2695719. Acesso em: 04 jun. 2024. -
APA
Valverde-Rebaza, J., Valejo, A., Berton, L., Faleiros, T. de P., & Lopes, A. de A. (2015). A Naïve Bayes model based on overlapping groups for link prediction in online social networks. In Proceedings. New York: ACM. doi:10.1145/2695664.2695719 -
NLM
Valverde-Rebaza J, Valejo A, Berton L, Faleiros T de P, Lopes A de A. A Naïve Bayes model based on overlapping groups for link prediction in online social networks [Internet]. Proceedings. 2015 ;[citado 2024 jun. 04 ] Available from: https://doi.org/10.1145/2695664.2695719 -
Vancouver
Valverde-Rebaza J, Valejo A, Berton L, Faleiros T de P, Lopes A de A. A Naïve Bayes model based on overlapping groups for link prediction in online social networks [Internet]. Proceedings. 2015 ;[citado 2024 jun. 04 ] Available from: https://doi.org/10.1145/2695664.2695719 - Efficient identification of duplicate bibliographical references
- Information extraction from tagged bibliographical references
- A graph-based bagging
- An open source tool for crowd-sourcing the manual annotation of texts
- Link prediction in graph construction for supervised and semi-supervised learning
- Exploring data classification with k-associated network
- Bipartite graph for topic extraction
- Structural link prediction using community information on Twitter
- Graph-based cross-validated committees ensembles
- Data visualization and relevance feedback applied to information retrieval
Informações sobre o DOI: 10.1145/2695664.2695719 (Fonte: oaDOI API)
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