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Filtros : "Holanda" "ACM" Removido: "1984" Limpar

Filtros

Trabalho de evento
Combining clutter reduction methods for temporal network visualization (2022)
Ponciano, Jean Roberto ; Linhares, Claudio Douglas Gouveia ; Rocha, Luis Enrique Correa da ; Faria, Elaine R ; Travençolo, Bruno Augusto Nassif
Source: Proceedings. Conference titles: ACM/SIGAPP Symposium on Applied Computing - SAC. Unidade: ICMC
Subjects: VISUALIZAÇÃO, REDES COMPLEXAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PONCIANO, Jean Roberto et al. Combining clutter reduction methods for temporal network visualization. 2022, Anais.. New York: ACM, 2022. Disponível em: https://doi.org/10.1145/3477314.3507018. Acesso em: 19 nov. 2024.
APA
Ponciano, J. R., Linhares, C. D. G., Rocha, L. E. C. da, Faria, E. R., & Travençolo, B. A. N. (2022). Combining clutter reduction methods for temporal network visualization. In Proceedings. New York: ACM. doi:10.1145/3477314.3507018
NLM
Ponciano JR, Linhares CDG, Rocha LEC da, Faria ER, Travençolo BAN. Combining clutter reduction methods for temporal network visualization [Internet]. Proceedings. 2022 ;[citado 2024 nov. 19 ] Available from: https://doi.org/10.1145/3477314.3507018
Vancouver
Ponciano JR, Linhares CDG, Rocha LEC da, Faria ER, Travençolo BAN. Combining clutter reduction methods for temporal network visualization [Internet]. Proceedings. 2022 ;[citado 2024 nov. 19 ] Available from: https://doi.org/10.1145/3477314.3507018
Trabalho de evento
Concept drift detection and localization in process mining: an integrated and efficient approach enabled by trace clustering (2021)
Sousa, Rafael Gaspar de; Peres, Sarajane Marques ; Fantinato, Marcelo ; Reijers, Hajo Alexander
Source: Proceedings. Conference titles: Annual ACM Symposium on Applied Computing. Unidade: EACH
Subjects: MINERAÇÃO DE DADOS, NEGÓCIOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SOUSA, Rafael Gaspar de et al. Concept drift detection and localization in process mining: an integrated and efficient approach enabled by trace clustering. 2021, Anais.. New York: ACM, 2021. Disponível em: https://doi.org/10.1145/3412841.3441918. Acesso em: 19 nov. 2024.
APA
Sousa, R. G. de, Peres, S. M., Fantinato, M., & Reijers, H. A. (2021). Concept drift detection and localization in process mining: an integrated and efficient approach enabled by trace clustering. In Proceedings. New York: ACM. doi:10.1145/3412841.3441918
NLM
Sousa RG de, Peres SM, Fantinato M, Reijers HA. Concept drift detection and localization in process mining: an integrated and efficient approach enabled by trace clustering [Internet]. Proceedings. 2021 ;[citado 2024 nov. 19 ] Available from: https://doi.org/10.1145/3412841.3441918
Vancouver
Sousa RG de, Peres SM, Fantinato M, Reijers HA. Concept drift detection and localization in process mining: an integrated and efficient approach enabled by trace clustering [Internet]. Proceedings. 2021 ;[citado 2024 nov. 19 ] Available from: https://doi.org/10.1145/3412841.3441918

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