Taking advantage of highly-correlated attributes in similarity queries with missing values (2020)
Rodrigues, Lucas Santiago 
; Cazzolato, Mirela Teixeira ; Traina, Agma Juci Machado ; Traina Junior, Caetano
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Similarity Search and Applications - SISAP. Unidade: ICMC
Assuntos: BANCO DE DADOS, RECUPERAÇÃO DA INFORMAÇÃO
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RODRIGUES, Lucas Santiago et al. Taking advantage of highly-correlated attributes in similarity queries with missing values. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-60936-8_13. Acesso em: 31 jul. 2025. , 2020APA
Rodrigues, L. S., Cazzolato, M. T., Traina, A. J. M., & Traina Junior, C. (2020). Taking advantage of highly-correlated attributes in similarity queries with missing values. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-60936-8_13NLM
Rodrigues LS, Cazzolato MT, Traina AJM, Traina Junior C. Taking advantage of highly-correlated attributes in similarity queries with missing values [Internet]. Lecture Notes in Computer Science. 2020 ; 12440 168-176.[citado 2025 jul. 31 ] Available from: https://doi.org/10.1007/978-3-030-60936-8_13Vancouver
Rodrigues LS, Cazzolato MT, Traina AJM, Traina Junior C. Taking advantage of highly-correlated attributes in similarity queries with missing values [Internet]. Lecture Notes in Computer Science. 2020 ; 12440 168-176.[citado 2025 jul. 31 ] Available from: https://doi.org/10.1007/978-3-030-60936-8_13
