VD-Tree: how to build an efficient and fit metric access method using Voronoi diagrams (2021)
- Authors:
- USP affiliated authors: TRAINA, AGMA JUCI MACHADO - ICMC ; TRAINA JUNIOR, CAETANO - ICMC ; MORIYAMA, ANDRE TOSHIO ASANOME - ICMC ; RODRIGUES, LUCAS SANTIAGO - ICMC ; SCABORA, LUCAS DE CARVALHO - ICMC ; CAZZOLATO, MIRELA TEIXEIRA - ICMC
- Unidade: ICMC
- DOI: 10.1145/3412841.3441915
- Subjects: ESTRUTURAS DE DADOS; RECUPERAÇÃO DA INFORMAÇÃO
- Keywords: Index structure; Metric access method; Complex data; Similarity queries; Voronoi diagram
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Proceedings
- Conference titles: Symposium on Applied Computing - SAC
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
MORIYAMA, André Toshio Asanome et al. VD-Tree: how to build an efficient and fit metric access method using Voronoi diagrams. 2021, Anais.. New York: ACM, 2021. Disponível em: https://doi.org/10.1145/3412841.3441915. Acesso em: 20 abr. 2024. -
APA
Moriyama, A. T. A., Rodrigues, L. S., Scabora, L. de C., Cazzolato, M. T., Traina, A. J. M., & Traina Junior, C. (2021). VD-Tree: how to build an efficient and fit metric access method using Voronoi diagrams. In Proceedings. New York: ACM. doi:10.1145/3412841.3441915 -
NLM
Moriyama ATA, Rodrigues LS, Scabora L de C, Cazzolato MT, Traina AJM, Traina Junior C. VD-Tree: how to build an efficient and fit metric access method using Voronoi diagrams [Internet]. Proceedings. 2021 ;[citado 2024 abr. 20 ] Available from: https://doi.org/10.1145/3412841.3441915 -
Vancouver
Moriyama ATA, Rodrigues LS, Scabora L de C, Cazzolato MT, Traina AJM, Traina Junior C. VD-Tree: how to build an efficient and fit metric access method using Voronoi diagrams [Internet]. Proceedings. 2021 ;[citado 2024 abr. 20 ] Available from: https://doi.org/10.1145/3412841.3441915 - Taking advantage of highly-correlated attributes in similarity queries with missing values
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Informações sobre o DOI: 10.1145/3412841.3441915 (Fonte: oaDOI API)
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