Ranking association rules by clustering through interestingness (2018)
Source: Lecture Notes in Artificial Intelligence. Conference titles: Mexican International Conference on Artificial Intelligence - MICAI. Unidade: ICMC
Subjects: MINERAÇÃO DE DADOS, METODOLOGIA E TÉCNICAS DE COMPUTAÇÃO
ABNT
CARVALHO, Veronica Oliveira de et al. Ranking association rules by clustering through interestingness. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-02837-4_28. Acesso em: 12 out. 2024. , 2018APA
Carvalho, V. O. de, Paula, D. D. de, Pacheco, M. V., Santos, W. E. dos, Padua, R. de, & Rezende, S. O. (2018). Ranking association rules by clustering through interestingness. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-02837-4_28NLM
Carvalho VO de, Paula DD de, Pacheco MV, Santos WE dos, Padua R de, Rezende SO. Ranking association rules by clustering through interestingness [Internet]. Lecture Notes in Artificial Intelligence. 2018 ;[citado 2024 out. 12 ] Available from: https://doi.org/10.1007/978-3-030-02837-4_28Vancouver
Carvalho VO de, Paula DD de, Pacheco MV, Santos WE dos, Padua R de, Rezende SO. Ranking association rules by clustering through interestingness [Internet]. Lecture Notes in Artificial Intelligence. 2018 ;[citado 2024 out. 12 ] Available from: https://doi.org/10.1007/978-3-030-02837-4_28