Enhancing recursive graph querying on RDBMS with data clustering approaches (2020)
Source: Proceedings. Conference titles: ACM/SIGAPP Symposium on Applied Computing - SAC. Unidade: ICMC
Subjects: BANCO DE DADOS, CLUSTERS, LÓGICA
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: 10 set. 2024.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:10.1145/3341105.3375770NLM
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 2024 set. 10 ] Available from: https://doi.org/10.1145/3341105.3375770Vancouver
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 2024 set. 10 ] Available from: https://doi.org/10.1145/3341105.3375770