Taking advantage of highly-correlated attributes in similarity queries with missing values (2020)
- Authors:
- USP affiliated authors: TRAINA, AGMA JUCI MACHADO - ICMC ; TRAINA JUNIOR, CAETANO - ICMC ; RODRIGUES, LUCAS SANTIAGO - ICMC ; CAZZOLATO, MIRELA TEIXEIRA - ICMC
- Unidade: ICMC
- DOI: 10.1007/978-3-030-60936-8_13
- Subjects: BANCO DE DADOS; RECUPERAÇÃO DA INFORMAÇÃO
- Keywords: Missing data; Similarity search; Complex; Metric spaces
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Lecture Notes in Computer Science
- ISSN: 0302-9743
- Volume/Número/Paginação/Ano: v. 12440, p. 168-176, 2020
- Conference titles: International Conference on Similarity Search and Applications - SISAP
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
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: 04 jun. 2024. , 2020 -
APA
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_13 -
NLM
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 jun. 04 ] Available from: https://doi.org/10.1007/978-3-030-60936-8_13 -
Vancouver
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 jun. 04 ] Available from: https://doi.org/10.1007/978-3-030-60936-8_13 - Sketch+ for visual and correlation-based exploratory data analysis: a case study with COVID-19 databases
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Informações sobre o DOI: 10.1007/978-3-030-60936-8_13 (Fonte: oaDOI API)
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