Sousa, Rafael Gaspar de; Peres, Sarajane Marques 
; Fantinato, Marcelo ; Reijers, Hajo Alexander
Fonte: Proceedings. Nome do evento: Annual ACM Symposium on Applied Computing. Unidade: EACH
Assuntos: MINERAÇÃO DE DADOS, NEGÓCIOS
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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: 12 nov. 2025.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:10.1145/3412841.3441918NLM
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 2025 nov. 12 ] Available from: https://doi.org/10.1145/3412841.3441918Vancouver
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 2025 nov. 12 ] Available from: https://doi.org/10.1145/3412841.3441918
