A novel optimization approach to efficiently process aggregate similarity queries in metric methods (2008)
- Authors:
- USP affiliated authors: TRAINA, AGMA JUCI MACHADO - ICMC ; TRAINA JUNIOR, CAETANO - ICMC
- Unidade: ICMC
- Subjects: BANCO DE DADOS; COMPUTAÇÃO GRÁFICA; PROCESSAMENTO DE IMAGENS
- Language: Inglês
- Imprenta:
- ISBN: 9781595939913
- Source:
- Título: Proceedings
- Conference titles: Conference on Information and Knowledge Management
-
ABNT
RAZENTE, Humberto Luiz et al. A novel optimization approach to efficiently process aggregate similarity queries in metric methods. 2008, Anais.. New York: ACM, 2008. . Acesso em: 08 fev. 2026. -
APA
Razente, H. L., Barioni, M. C. N., Traina, A. J. M., Faloutsos, C., & Traina Junior, C. (2008). A novel optimization approach to efficiently process aggregate similarity queries in metric methods. In Proceedings. New York: ACM. -
NLM
Razente HL, Barioni MCN, Traina AJM, Faloutsos C, Traina Junior C. A novel optimization approach to efficiently process aggregate similarity queries in metric methods. Proceedings. 2008 ;[citado 2026 fev. 08 ] -
Vancouver
Razente HL, Barioni MCN, Traina AJM, Faloutsos C, Traina Junior C. A novel optimization approach to efficiently process aggregate similarity queries in metric methods. Proceedings. 2008 ;[citado 2026 fev. 08 ] - Upgraded SemIndex prototype supporting intelligent database keyword queries through disambiguation, query as you type, and parallel search algorithms
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- Support to content-based image query in object-oriented databases
- Efficient bulk-loading on dynamic metric access methods
- Discovering frequent patterns on agrometeorological data with TrieMotif
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