MiDaS: extract golden results from knowledge discovery even over incomplete databases (2022)
- Authors:
- USP affiliated authors: OLIVEIRA, WILLIAN DENER DE - ICMC ; TRAINA, AGMA JUCI MACHADO - ICMC ; TRAINA JUNIOR, CAETANO - ICMC ; RODRIGUES, LUCAS SANTIAGO - ICMC ; VESPA, THIAGO GALBIATTI - ICMC ; ELEUTÉRIO, IGOR ALBERTE RODRIGUES - ICMC
- Unidade: ICMC
- DOI: 10.1007/978-3-031-08760-8_54
- Subjects: DESCOBERTA DE CONHECIMENTO; GERENCIADORES DE BANCO DE DADOS; RECUPERAÇÃO DA INFORMAÇÃO
- Keywords: Knowledge discovery in databases; Missing data; RDBMS framework; Similarity queries
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Lecture Notes in Computer Science
- ISSN: 0302-9743
- Volume/Número/Paginação/Ano: v. 13353, p. 653-667, 2022
- Conference titles: International Conference on Computational Science - ICCS
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
RODRIGUES, Lucas Santiago et al. MiDaS: extract golden results from knowledge discovery even over incomplete databases. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-08760-8_54. Acesso em: 04 maio 2024. , 2022 -
APA
Rodrigues, L. S., Vespa, T. G., Eleutério, I. A. R., Oliveira, W. D. de, Traina, A. J. M., & Traina Junior, C. (2022). MiDaS: extract golden results from knowledge discovery even over incomplete databases. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-08760-8_54 -
NLM
Rodrigues LS, Vespa TG, Eleutério IAR, Oliveira WD de, Traina AJM, Traina Junior C. MiDaS: extract golden results from knowledge discovery even over incomplete databases [Internet]. Lecture Notes in Computer Science. 2022 ; 13353 653-667.[citado 2024 maio 04 ] Available from: https://doi.org/10.1007/978-3-031-08760-8_54 -
Vancouver
Rodrigues LS, Vespa TG, Eleutério IAR, Oliveira WD de, Traina AJM, Traina Junior C. MiDaS: extract golden results from knowledge discovery even over incomplete databases [Internet]. Lecture Notes in Computer Science. 2022 ; 13353 653-667.[citado 2024 maio 04 ] Available from: https://doi.org/10.1007/978-3-031-08760-8_54 - Parameter-free and domain-independent similarity search with diversity
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- Bulk-loading dynamic metric access methods
- A 'wider' concept for similarity joins
- Involving users in the gestural language definition process for the NInA framework
- The NinA framework: using gesture to improve interaction and collaboration in geographical information systems
- Self similarity wide-joins for near-duplicate image detection
- Diversity in similarity joins
- Embedding k-nearest neighbor queries into relational database management systems
- Similarity joins and beyond: an extended set of binary operators with order
Informações sobre o DOI: 10.1007/978-3-031-08760-8_54 (Fonte: oaDOI API)
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