Taking advantage of highly-correlated attributes in similarity queries with missing values (2020)
Source: Lecture Notes in Computer Science. Conference titles: International Conference on Similarity Search and Applications - SISAP. Unidade: ICMC
Subjects: BANCO DE DADOS, RECUPERAÇÃO DA INFORMAÇÃO
ABNT
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: 25 jul. 2024. , 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 2024 jul. 25 ] 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 2024 jul. 25 ] Available from: https://doi.org/10.1007/978-3-030-60936-8_13