Source: Data & Knowledge Engineering. Unidade: EACH
Assunto: MINERAÇÃO DE DADOS
ABNT
SOUSA, Rafael Gaspar de et al. Integrated detection and localization of concept drifts in process mining with batch and stream trace clustering support. Data & Knowledge Engineering, p. 01-51, 2023Tradução . . Disponível em: http://dx.doi.org/10.1016/j.datak.2023.102253. Acesso em: 04 out. 2024.APA
Sousa, R. G. de, Meira Neto, A. C., Fantinato, M., Peres, S. M., & Reijers, H. A. (2023). Integrated detection and localization of concept drifts in process mining with batch and stream trace clustering support. Data & Knowledge Engineering, 01-51. doi:10.1016/j.datak.2023.102253NLM
Sousa RG de, Meira Neto AC, Fantinato M, Peres SM, Reijers HA. Integrated detection and localization of concept drifts in process mining with batch and stream trace clustering support [Internet]. Data & Knowledge Engineering. 2023 ; 01-51.[citado 2024 out. 04 ] Available from: http://dx.doi.org/10.1016/j.datak.2023.102253Vancouver
Sousa RG de, Meira Neto AC, Fantinato M, Peres SM, Reijers HA. Integrated detection and localization of concept drifts in process mining with batch and stream trace clustering support [Internet]. Data & Knowledge Engineering. 2023 ; 01-51.[citado 2024 out. 04 ] Available from: http://dx.doi.org/10.1016/j.datak.2023.102253