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Artigo de periodico
Revisiting the transition matrix‑based concept drift approach: improving the detection task reliability through additional experimentation (2024)
Meira Neto, Antonio Carlos ; Sousa, Rafael Gaspar de; Fantinato, Marcelo ; Peres, Sarajane Marques
Source: SN Computer Science. Unidade: EACH
Assunto: MATRIZES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MEIRA NETO, Antonio Carlos et al. Revisiting the transition matrix‑based concept drift approach: improving the detection task reliability through additional experimentation. SN Computer Science, v. 5, n. ja 2024, p. 01-25, 2024Tradução . . Disponível em: http://dx.doi.org/10.1007/s42979-023-02536-z. Acesso em: 14 fev. 2026.
APA
Meira Neto, A. C., Sousa, R. G. de, Fantinato, M., & Peres, S. M. (2024). Revisiting the transition matrix‑based concept drift approach: improving the detection task reliability through additional experimentation. SN Computer Science, 5( ja 2024), 01-25. doi:10.1007/s42979-023-02536-z
NLM
Meira Neto AC, Sousa RG de, Fantinato M, Peres SM. Revisiting the transition matrix‑based concept drift approach: improving the detection task reliability through additional experimentation [Internet]. SN Computer Science. 2024 ; 5( ja 2024): 01-25.[citado 2026 fev. 14 ] Available from: http://dx.doi.org/10.1007/s42979-023-02536-z
Vancouver
Meira Neto AC, Sousa RG de, Fantinato M, Peres SM. Revisiting the transition matrix‑based concept drift approach: improving the detection task reliability through additional experimentation [Internet]. SN Computer Science. 2024 ; 5( ja 2024): 01-25.[citado 2026 fev. 14 ] Available from: http://dx.doi.org/10.1007/s42979-023-02536-z
Artigo de periodico
Integrated detection and localization of concept drifts in process mining with batch and stream trace clustering support (2023)
Sousa, Rafael Gaspar de ; Meira Neto, Antonio Carlos ; Fantinato, Marcelo ; Peres, Sarajane Marques ; Reijers, Hajo Alexander
Source: Data & Knowledge Engineering. Unidade: EACH
Assunto: MINERAÇÃO DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 14 fev. 2026.
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.2023.102253
NLM
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 2026 fev. 14 ] Available from: http://dx.doi.org/10.1016/j.datak.2023.102253
Vancouver
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 2026 fev. 14 ] Available from: http://dx.doi.org/10.1016/j.datak.2023.102253

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