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Artigo de periodico
Analysis of ENEM's attendants between 2012 and 2017 using a clustering approach (2020)
Lima, Afonso Matheus Sousa; Florez, Alexander Ylnner Choquenaira ; Lescano, Alexis Ivan Aspauza; Novaes, João Victor de Oliveira; Martins, Natalia de Fatima; Traina Junior, Caetano ; Sousa, Elaine Parros Machado de ; Rodrigues Junior, José Fernando ; Cordeiro, Robson Leonardo Ferreira
Source: Journal of Information and Data Management - JIDM. Unidade: ICMC
Subjects: BANCO DE DADOS RELACIONAIS, DESCOBERTA DE CONHECIMENTO, RECONHECIMENTO DE PADRÕES, VESTIBULAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LIMA, Afonso Matheus Sousa et al. Analysis of ENEM's attendants between 2012 and 2017 using a clustering approach. Journal of Information and Data Management - JIDM, v. 11, n. 2, p. 115-130, 2020Tradução . . Disponível em: https://periodicos.ufmg.br/index.php/jidm/article/view/24835. Acesso em: 27 nov. 2025.
APA
Lima, A. M. S., Florez, A. Y. C., Lescano, A. I. A., Novaes, J. V. de O., Martins, N. de F., Traina Junior, C., et al. (2020). Analysis of ENEM's attendants between 2012 and 2017 using a clustering approach. Journal of Information and Data Management - JIDM, 11( 2), 115-130. Recuperado de https://periodicos.ufmg.br/index.php/jidm/article/view/24835
NLM
Lima AMS, Florez AYC, Lescano AIA, Novaes JV de O, Martins N de F, Traina Junior C, Sousa EPM de, Rodrigues Junior JF, Cordeiro RLF. Analysis of ENEM's attendants between 2012 and 2017 using a clustering approach [Internet]. Journal of Information and Data Management - JIDM. 2020 ; 11( 2): 115-130.[citado 2025 nov. 27 ] Available from: https://periodicos.ufmg.br/index.php/jidm/article/view/24835
Vancouver
Lima AMS, Florez AYC, Lescano AIA, Novaes JV de O, Martins N de F, Traina Junior C, Sousa EPM de, Rodrigues Junior JF, Cordeiro RLF. Analysis of ENEM's attendants between 2012 and 2017 using a clustering approach [Internet]. Journal of Information and Data Management - JIDM. 2020 ; 11( 2): 115-130.[citado 2025 nov. 27 ] Available from: https://periodicos.ufmg.br/index.php/jidm/article/view/24835
Artigo de periodico
Mining temporal exception rules from multivariate time series using a new support measure (2020)
Amaral, Thábata; Sousa, Elaine Parros Machado de
Source: Journal of Information and Data Management - JIDM. Unidade: ICMC
Subjects: BANCO DE DADOS RELACIONAIS, MINERAÇÃO DE DADOS, ANÁLISE DE SÉRIES TEMPORAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
AMARAL, Thábata e SOUSA, Elaine Parros Machado de. Mining temporal exception rules from multivariate time series using a new support measure. Journal of Information and Data Management - JIDM, v. 11, n. 3, p. 228-246, 2020Tradução . . Disponível em: https://periodicos.ufmg.br/index.php/jidm/article/view/24213. Acesso em: 27 nov. 2025.
APA
Amaral, T., & Sousa, E. P. M. de. (2020). Mining temporal exception rules from multivariate time series using a new support measure. Journal of Information and Data Management - JIDM, 11( 3), 228-246. Recuperado de https://periodicos.ufmg.br/index.php/jidm/article/view/24213
NLM
Amaral T, Sousa EPM de. Mining temporal exception rules from multivariate time series using a new support measure [Internet]. Journal of Information and Data Management - JIDM. 2020 ; 11( 3): 228-246.[citado 2025 nov. 27 ] Available from: https://periodicos.ufmg.br/index.php/jidm/article/view/24213
Vancouver
Amaral T, Sousa EPM de. Mining temporal exception rules from multivariate time series using a new support measure [Internet]. Journal of Information and Data Management - JIDM. 2020 ; 11( 3): 228-246.[citado 2025 nov. 27 ] Available from: https://periodicos.ufmg.br/index.php/jidm/article/view/24213
Trabalho de evento
TRiER: a fast and scalable method for mining temporal exception rules (2019)
Amaral, Thábata; Sousa, Elaine Parros Machado de
Source: Proceedings. Conference titles: Simpósio Brasileiro de Banco de Dados - SBBD. Unidade: ICMC
Subjects: BANCO DE DADOS RELACIONAIS, RECONHECIMENTO DE PADRÕES, ANÁLISE DE SÉRIES TEMPORAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
AMARAL, Thábata e SOUSA, Elaine Parros Machado de. TRiER: a fast and scalable method for mining temporal exception rules. 2019, Anais.. Fortaleza: SBC, 2019. Disponível em: http://sbbd.org.br/2019/wp-content/uploads/sites/6/2020/01/Proceddings.pdf. Acesso em: 27 nov. 2025.
APA
Amaral, T., & Sousa, E. P. M. de. (2019). TRiER: a fast and scalable method for mining temporal exception rules. In Proceedings. Fortaleza: SBC. Recuperado de http://sbbd.org.br/2019/wp-content/uploads/sites/6/2020/01/Proceddings.pdf
NLM
Amaral T, Sousa EPM de. TRiER: a fast and scalable method for mining temporal exception rules [Internet]. Proceedings. 2019 ;[citado 2025 nov. 27 ] Available from: http://sbbd.org.br/2019/wp-content/uploads/sites/6/2020/01/Proceddings.pdf
Vancouver
Amaral T, Sousa EPM de. TRiER: a fast and scalable method for mining temporal exception rules [Internet]. Proceedings. 2019 ;[citado 2025 nov. 27 ] Available from: http://sbbd.org.br/2019/wp-content/uploads/sites/6/2020/01/Proceddings.pdf
Trabalho de evento
G-FranC: a dataset of criminal activities mapped as a complex network in a relational DBMS (2019)
Scabora, Lucas de Carvalho ; Spadon, Gabriel ; Rodrigues, Lucas Santiago ; Cazzolato, Mirela Teixeira ; Araújo, Marcus Vinicius dos Santos; Sousa, Elaine Parros Machado de ; Traina, Agma Juci Machado ; Rodrigues Junior, José Fernando ; Traina Junior, Caetano
Source: Proceedings Companion. Conference titles: Brazilian Symposium on Databases - SBBD. Unidade: ICMC
Subjects: BANCO DE DADOS RELACIONAIS, GERENCIADORES DE BANCO DE DADOS, REDES COMPLEXAS, VISUALIZAÇÃO, COMPORTAMENTO CRIMINAL, SEGURANÇA PÚBLICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SCABORA, Lucas de Carvalho et al. G-FranC: a dataset of criminal activities mapped as a complex network in a relational DBMS. 2019, Anais.. Fortaleza: SBC, 2019. Disponível em: http://sbbd.org.br/2019/wp-content/uploads/sites/6/2020/01/Procedings-Companion.pdf. Acesso em: 27 nov. 2025.
APA
Scabora, L. de C., Spadon, G., Rodrigues, L. S., Cazzolato, M. T., Araújo, M. V. dos S., Sousa, E. P. M. de, et al. (2019). G-FranC: a dataset of criminal activities mapped as a complex network in a relational DBMS. In Proceedings Companion. Fortaleza: SBC. Recuperado de http://sbbd.org.br/2019/wp-content/uploads/sites/6/2020/01/Procedings-Companion.pdf
NLM
Scabora L de C, Spadon G, Rodrigues LS, Cazzolato MT, Araújo MV dos S, Sousa EPM de, Traina AJM, Rodrigues Junior JF, Traina Junior C. G-FranC: a dataset of criminal activities mapped as a complex network in a relational DBMS [Internet]. Proceedings Companion. 2019 ;[citado 2025 nov. 27 ] Available from: http://sbbd.org.br/2019/wp-content/uploads/sites/6/2020/01/Procedings-Companion.pdf
Vancouver
Scabora L de C, Spadon G, Rodrigues LS, Cazzolato MT, Araújo MV dos S, Sousa EPM de, Traina AJM, Rodrigues Junior JF, Traina Junior C. G-FranC: a dataset of criminal activities mapped as a complex network in a relational DBMS [Internet]. Proceedings Companion. 2019 ;[citado 2025 nov. 27 ] Available from: http://sbbd.org.br/2019/wp-content/uploads/sites/6/2020/01/Procedings-Companion.pdf
Trabalho de evento
On the support of a similarity-enabled relational database management system in civilian crisis situations (2016)
Oliveira, Paulo H; Fraideinberze, Antonio C; Laverde, Natan A; Gualdron, Hugo; Gonzaga, Andre S; Ferreira, Lucas D; Oliveira, Willian Dener de; Rodrigues Junior, José Fernando ; Cordeiro, Robson Leonardo Ferreira ; Traina Junior, Caetano ; Traina, Agma Juci Machado ; Sousa, Elaine Parros Machado de
Source: Proceedings. Conference titles: International Conference on Enterprise Information Systems - ICEIS. Unidade: ICMC
Subjects: BANCO DE DADOS, PROCESSAMENTO DE IMAGENS, COMPUTAÇÃO GRÁFICA, BANCO DE DADOS RELACIONAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVEIRA, Paulo H et al. On the support of a similarity-enabled relational database management system in civilian crisis situations. 2016, Anais.. Lisboa: SciTePress, 2016. Disponível em: https://doi.org/10.5220/0005816701190126. Acesso em: 27 nov. 2025.
APA
Oliveira, P. H., Fraideinberze, A. C., Laverde, N. A., Gualdron, H., Gonzaga, A. S., Ferreira, L. D., et al. (2016). On the support of a similarity-enabled relational database management system in civilian crisis situations. In Proceedings. Lisboa: SciTePress. doi:10.5220/0005816701190126
NLM
Oliveira PH, Fraideinberze AC, Laverde NA, Gualdron H, Gonzaga AS, Ferreira LD, Oliveira WD de, Rodrigues Junior JF, Cordeiro RLF, Traina Junior C, Traina AJM, Sousa EPM de. On the support of a similarity-enabled relational database management system in civilian crisis situations [Internet]. Proceedings. 2016 ;[citado 2025 nov. 27 ] Available from: https://doi.org/10.5220/0005816701190126
Vancouver
Oliveira PH, Fraideinberze AC, Laverde NA, Gualdron H, Gonzaga AS, Ferreira LD, Oliveira WD de, Rodrigues Junior JF, Cordeiro RLF, Traina Junior C, Traina AJM, Sousa EPM de. On the support of a similarity-enabled relational database management system in civilian crisis situations [Internet]. Proceedings. 2016 ;[citado 2025 nov. 27 ] Available from: https://doi.org/10.5220/0005816701190126

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