Enhancing recursive graph querying on RDBMS with data clustering approaches (2020)
- Authors:
- USP affiliated authors: RODRIGUES JUNIOR, JOSÉ FERNANDO - ICMC ; TRAINA JUNIOR, CAETANO - ICMC ; SCABORA, LUCAS DE CARVALHO - ICMC ; SOUZA, GABRIEL SPADON DE - ICMC ; OLIVEIRA, PAULO HENRIQUE DE - ICMC
- Unidade: ICMC
- DOI: 10.1145/3341105.3375770
- Subjects: BANCO DE DADOS; CLUSTERS; LÓGICA
- Keywords: Recursive Query; Adjacency List Storage
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Proceedings
- Conference titles: ACM/SIGAPP Symposium on Applied Computing - SAC
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
SCABORA, Lucas de Carvalho et al. Enhancing recursive graph querying on RDBMS with data clustering approaches. 2020, Anais.. New York: ACM, 2020. Disponível em: https://doi.org/10.1145/3341105.3375770. Acesso em: 27 dez. 2025. -
APA
Scabora, L. de C., Spadon, G., Oliveira, P. H. de, Rodrigues Junior, J. F., & Traina Junior, C. (2020). Enhancing recursive graph querying on RDBMS with data clustering approaches. In Proceedings. New York: ACM. doi:10.1145/3341105.3375770 -
NLM
Scabora L de C, Spadon G, Oliveira PH de, Rodrigues Junior JF, Traina Junior C. Enhancing recursive graph querying on RDBMS with data clustering approaches [Internet]. Proceedings. 2020 ;[citado 2025 dez. 27 ] Available from: https://doi.org/10.1145/3341105.3375770 -
Vancouver
Scabora L de C, Spadon G, Oliveira PH de, Rodrigues Junior JF, Traina Junior C. Enhancing recursive graph querying on RDBMS with data clustering approaches [Internet]. Proceedings. 2020 ;[citado 2025 dez. 27 ] Available from: https://doi.org/10.1145/3341105.3375770 - Lig-Doctor: real-world clinical prognosis using a bi-directional neural network
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Informações sobre o DOI: 10.1145/3341105.3375770 (Fonte: oaDOI API)
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