Concept drift detection and localization in process mining: an integrated and efficient approach enabled by trace clustering (2021)
- Authors:
- USP affiliated authors: PERES, SARAJANE MARQUES - EACH ; FANTINATO, MARCELO - EACH ; SOUSA, RAFAEL GASPAR DE - EACH
- Unidade: EACH
- DOI: 10.1145/3412841.3441918
- Subjects: MINERAÇÃO DE DADOS; NEGÓCIOS
- Language: Inglês
- Imprenta:
- Source:
- Título: Proceedings
- Conference titles: Annual ACM Symposium on Applied Computing
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
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: 03 dez. 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:10.1145/3412841.3441918 -
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 2025 dez. 03 ] 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 2025 dez. 03 ] Available from: https://doi.org/10.1145/3412841.3441918 - Enhancing completion time prediction through attribute selection
- X-Processes: process model discovery with the best balance among fitness, precision, simplicity, and generalization through a genetic algorithm
- Parental perception of children's privacy in smart toys in countries of different economic levels
- Process mining through artificial neural networks and support vector machines: a systematic literature review
- Towards a privacy rule conceptual model for smart toys
- A systematic mapping study of process mining
- BPMN-Sim: a multilevel structural similarity technique for BPMN process models
- Tomada de decisão na Administração Pública apoiada pela descoberta de conhecimento: um estudo de caso em gestão de projetos
- Human-computer interaction and artificial intelligence: multidisciplinarity aiming game accessibilit
- Mining unstructured processes: an exploratory study on a distance learning domain
Informações sobre o DOI: 10.1145/3412841.3441918 (Fonte: oaDOI API)
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
