On the support of the similarity-aware division operator in a commercial RDBMS (2018)
- Authors:
- Autor USP: CORDEIRO, ROBSON LEONARDO FERREIRA - ICMC
- Unidade: ICMC
- DOI: 10.1007/978-3-319-98398-1_10
- Subjects: GERENCIADORES DE BANCO DE DADOS; RECONHECIMENTO DE PADRÕES; ALGORITMOS; SQL
- Keywords: Relational division; Similarity comparison
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Lecture Notes in Computer Science
- ISSN: 0302-9743
- Volume/Número/Paginação/Ano: v. 11019, p. 142-155, 2018
- Conference titles: European Conference on Advances in Databases and Information Systems - ADBIS
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
VASCONCELOS, Guilherme Q e KASTER, Daniel S e CORDEIRO, Robson Leonardo Ferreira. On the support of the similarity-aware division operator in a commercial RDBMS. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-98398-1_10. Acesso em: 23 abr. 2024. , 2018 -
APA
Vasconcelos, G. Q., Kaster, D. S., & Cordeiro, R. L. F. (2018). On the support of the similarity-aware division operator in a commercial RDBMS. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-319-98398-1_10 -
NLM
Vasconcelos GQ, Kaster DS, Cordeiro RLF. On the support of the similarity-aware division operator in a commercial RDBMS [Internet]. Lecture Notes in Computer Science. 2018 ; 11019 142-155.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1007/978-3-319-98398-1_10 -
Vancouver
Vasconcelos GQ, Kaster DS, Cordeiro RLF. On the support of the similarity-aware division operator in a commercial RDBMS [Internet]. Lecture Notes in Computer Science. 2018 ; 11019 142-155.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1007/978-3-319-98398-1_10 - 'HALITE IND.DS': agrupamento de dados em subespaços de séries temporais multidimensionais
- 'HALITE IND. DS': fast and scalable subspace clustering for multidimensional data streams
- The similarity-aware relational division database operator
- Data mining in large sets of complex data
- A new division operator to handle complex objects in very large relational datasets
- Fast and scalable outlier detection with metric access methods
- The similarity-aware relational division database operator with case studies in agriculture and genetics
- D.MCA: outlier detection with explicit micro-cluster assignments
- Fast and scalable relational division on database systems
- Detecting influencers in very large social networks of games
Informações sobre o DOI: 10.1007/978-3-319-98398-1_10 (Fonte: oaDOI API)
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