Querying complex objects by similarity in SQL (2005)
- Authors:
- USP affiliated authors: TRAINA JUNIOR, CAETANO - ICMC ; TRAINA, AGMA JUCI MACHADO - ICMC
- Unidade: ICMC
- Assunto: BANCO DE DADOS
- Language: Inglês
- Imprenta:
- Publisher: Universidade Federal do Rio Grande do Sul
- Publisher place: Porto Alegre
- Date published: 2005
- Source:
- Título: Anais
- Conference titles: Simposio Brasileiro de Banco de Dados
-
ABNT
BARIONI, Maria Camila Nardini et al. Querying complex objects by similarity in SQL. 2005, Anais.. Porto Alegre: Universidade Federal do Rio Grande do Sul, 2005. . Acesso em: 16 abr. 2026. -
APA
Barioni, M. C. N., Razente, H. L., Traina Junior, C., & Traina, A. J. M. (2005). Querying complex objects by similarity in SQL. In Anais. Porto Alegre: Universidade Federal do Rio Grande do Sul. -
NLM
Barioni MCN, Razente HL, Traina Junior C, Traina AJM. Querying complex objects by similarity in SQL. Anais. 2005 ;[citado 2026 abr. 16 ] -
Vancouver
Barioni MCN, Razente HL, Traina Junior C, Traina AJM. Querying complex objects by similarity in SQL. Anais. 2005 ;[citado 2026 abr. 16 ] - Upgraded SemIndex prototype supporting intelligent database keyword queries through disambiguation, query as you type, and parallel search algorithms
- Content-based image retrieval using approximate shape of objects
- Distance functions association for content-based image retrieval using multiple comparison criteria
- DBM-tree
- An effective cost model for similarity queries in metric spaces
- Visually interacting with k-medoid-based algorithms
- BREATH: heat maps assisting the detection of abnormal lung regions in CT Scans
- 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
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
