SACMiner: a new classification method based on statistical association rules to mine medical images (2011)
- Authors:
- USP affiliated authors: TRAINA JUNIOR, CAETANO - ICMC ; TRAINA, AGMA JUCI MACHADO - ICMC
- School: ICMC
- Subjects: BANCO DE DADOS; COMPUTAÇÃO GRÁFICA; PROCESSAMENTO DE IMAGENS
- Language: Inglês
- Imprenta:
- Publisher: Springer-Verlag
- Place of publication: Berlin
- Date published: 2011
- Source:
- Título do periódico: Lecture Notes in Business Information Processing
- ISSN: 1865-1348
- Volume/Número/Paginação/Ano: v. 73, p. 249-263, 2011
- Conference title: International Conference on Enterprise Information Systems - ICEIS
-
ABNT
WATANABE, Carolina Y. V et al. SACMiner: a new classification method based on statistical association rules to mine medical images. Lecture Notes in Business Information Processing. Berlin: Springer-Verlag. . Acesso em: 06 jul. 2022. , 2011 -
APA
Watanabe, C. Y. V., Ribeiro, M. X., Traina Júnior, C., & Traina, A. J. M. (2011). SACMiner: a new classification method based on statistical association rules to mine medical images. Lecture Notes in Business Information Processing. Berlin: Springer-Verlag. -
NLM
Watanabe CYV, Ribeiro MX, Traina Júnior C, Traina AJM. SACMiner: a new classification method based on statistical association rules to mine medical images. Lecture Notes in Business Information Processing. 2011 ; 73 249-263.[citado 2022 jul. 06 ] -
Vancouver
Watanabe CYV, Ribeiro MX, Traina Júnior C, Traina AJM. SACMiner: a new classification method based on statistical association rules to mine medical images. Lecture Notes in Business Information Processing. 2011 ; 73 249-263.[citado 2022 jul. 06 ] - Enhancing data visualization techniques
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- Including conditional operators in content-based image retrieval in large sets of medical exams
- Integrating images to patient electronic medical records through content-based retrieval techniques
- Enhanced visual evaluation of feature extractors for image mining
- Image domain formalization for content-based image retrieval
- Accelerating approximate similarity queries using genetic algorithms
- MAMView: a visual tool for exploring and understanding metric access methods
- Incluindo consultas por similaridade em SQL
- iDFQL: a query-based tool to help the teching process of the relational algebra
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