Integrated detection and localization of concept drifts in process mining with batch and stream trace clustering support (2023)
- Authors:
- USP affiliated authors: FANTINATO, MARCELO - EACH ; PERES, SARAJANE MARQUES - EACH ; MEIRA NETO, ANTONIO CARLOS - EACH
- Unidade: EACH
- DOI: 10.1016/j.datak.2023.102253
- Assunto: MINERAÇÃO DE DADOS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Data & Knowledge Engineering
- ISSN: 1872-6933
- Volume/Número/Paginação/Ano: online, p. 01-51, Dec. 2023
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
- Licença: other-oa
-
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: 09 jan. 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 jan. 09 ] 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 jan. 09 ] Available from: http://dx.doi.org/10.1016/j.datak.2023.102253 - Revisiting the transition matrix‑based concept drift approach: improving the detection task reliability through additional experimentation
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Informações sobre o DOI: 10.1016/j.datak.2023.102253 (Fonte: oaDOI API)
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