Agma J. M. Traina - researchr alias

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2011

The Similarity Cloud Model: A novel and efficient hippocampus segmentation techniqueFredy E. C. Atho, Agma J. M. Traina, Caetano Traina Jr., Paula R. B. Diniz. cbms 2011: 1-6 [doi]

Improving content-based retrieval of medical images through dynamic distance on relevance feedbackPedro Henrique Bugatti, Agma J. M. Traina, Caetano Traina Jr.. cbms 2011: 1-6 [doi]

MedFMI-SiR: A Powerful DBMS Solution for Large-Scale Medical Image RetrievalDaniel S. Kaster, Pedro Henrique Bugatti, Marcelo Ponciano-Silva, Agma J. M. Traina, Paulo M. Azevedo-Marques, Antonio C. Santos, Caetano Traina Jr.. ITBAM 2011: 16-30 [doi]

Fractal-based Analysis to Identify Trend Changes in Multiple Climate Time SeriesSantiago Augusto Nunes, Luciana A. S. Romani, Ana Maria Heuminski de Ávila, Caetano Traina Jr., Elaine P. M. de Sousa, Agma J. M. Traina. jidm, 2(1):51-58, 2011. [doi]

2010

Metric Data Analysis Enhanced through Temporal VisualizationRenato Bueno, Humberto Luiz Razente, Daniel S. Kaster, Maria Camila Nardini Barioni, Agma J. M. Traina, Caetano Traina Jr.. IV 2010: 116-121 [doi]

Finding Clusters in subspaces of very large, multi-dimensional datasetsRobson Leonardo Ferreira Cordeiro, Agma J. M. Traina, Christos Faloutsos, Caetano Traina Jr.. icde 2010: 625-636 [doi]

QMAS: Querying, Mining and Summarization of Multi-modal DatabasesRobson Leonardo Ferreira Cordeiro, Fan Guo, Donna S. Haverkamp, James H. Horne, Ellen K. Hughes, Gunhee Kim, Agma J. M. Traina, Caetano Traina Jr., Christos Faloutsos. icdm 2010: 785-790 [doi]

Adding Knowledge Extracted by Association Rules into Similarity QueriesMônica Ribeiro Porto Ferreira, Marcela Xavier Ribeiro, Agma J. M. Traina, Richard Chbeir, Caetano Traina Jr.. jidm, 1(3):391-406, 2010. [doi]

Fast Feature Selection using Fractal Dimension - Ten Years LaterCaetano Traina Jr., Agma J. M. Traina, Christos Faloutsos. jidm, 1(1):17-20, 2010. [doi]

Fast feature selection using fractal dimensionCaetano Traina Jr., Agma J. M. Traina, Leejay Wu, Christos Faloutsos. jidm, 1(1):3-16, 2010. [doi]

FMI-SiR: A Flexible and Efficient Module for Similarity Searching on Oracle DatabaseDaniel S. Kaster, Pedro Henrique Bugatti, Agma J. M. Traina, Caetano Traina Jr.. jidm, 1(2):229-244, 2010. [doi]

Mining Relevant and Extreme Patterns on Climate Time Series with CLIPSMinerLuciana A. S. Romani, Ana Maria Heuminski de Ávila, Jurandir Zullo Jr., Caetano Traina Jr., Agma J. M. Traina. jidm, 1(2):245-260, 2010. [doi]

CLEARMiner: a new algorithm for mining association patterns on heterogeneous time series from climate dataLuciana A. S. Romani, Ana Maria Heuminski de Ávila, Jurandir Zullo Jr., Richard Chbeir, Caetano Traina Jr., Agma J. M. Traina. SAC 2010: 900-905 [doi]

New DTW-based method to similarity search in sugar cane regions represented by climate and remote sensing time seriesLuciana A. S. Romani, R. R. V. Goncalves, Jurandir Zullo Jr., Caetano Traina Jr., Agma J. M. Traina. igarss 2010: 355-358 [doi]

Efficient bulk-loading on dynamic metric access methodsThiago Galbiatti Vespa, Caetano Traina Jr., Agma J. M. Traina. is, 35(5):557-569, 2010. [doi]

Revisiting the DBM-TreeMarcos R. Vieira, Fabio Jun Takada Chino, Agma J. M. Traina, Caetano Traina Jr.. jidm, 1(1):129-132, 2010. [doi]

DBM-Tree: A Dynamic Metric Access Method Sensitive to Local Density DataMarcos R. Vieira, Caetano Traina Jr., Fabio Jun Takada Chino, Agma J. M. Traina. jidm, 1(1):111-128, 2010. [doi]

A visual framework to understand similarity queries and explore data in Metric Access MethodsMarcos R. Vieira, Fabio Jun Takada Chino, Caetano Traina Jr., Agma J. M. Traina. ijbidm, 5(4):370-397, 2010. [doi]

Statistical Associative Classification of Mammograms - The SACMiner MethodCarolina Y. V. Watanabe, Marcela Xavier Ribeiro, Caetano Traina Jr., Agma J. M. Traina. ICEIS 2010: 121-128

SACMiner: A New Classification Method Based on Statistical Association Rules to Mine Medical ImagesCarolina Y. V. Watanabe, Marcela Xavier Ribeiro, Caetano Traina Jr., Agma J. M. Traina. ICEIS 2011: 249-263 [doi]

2009

Unsupervised scaling of multi-descriptor similarity functions for medical image datasetsRenato Bueno, Daniel S. Kaster, Adriano Arantes Paterlini, Agma J. M. Traina, Caetano Traina Jr.. cbms 2009: 1-8 [doi]

Content-based retrieval of medical images: From context to perceptionPedro Henrique Bugatti, Marcelo Ponciano-Silva, Agma J. M. Traina, Caetano Traina Jr., Paulo Marques. cbms 2009: 1-8 [doi]

MEDES 09: International ACM Conference on Management of Emergent Digital EcoSystems, Lyon, France, October 27-30, 2009Richard Chbeir, Youakim Badr, Epaminondas Kapetanios, Agma J. M. Traina, editors, ACM, 2009.

Identifying Algebraic Properties to Support Optimization of Unary Similarity QueriesMÃ´nica Ribeiro Porto Ferreira, Agma J. M. Traina, Ires Dias, Richard Chbeir, Caetano Traina Jr.. amw 2009: [doi]

Incorporating Metric Access Methods for Similarity Searching on Oracle DatabaseDaniel S. Kaster, Pedro Henrique Bugatti, Agma J. M. Traina, Caetano Traina Jr.. sbbd 2009: 196-210 [doi]

Easing the Dimensionality Curse by Stretching Metric SpacesIves Rene Venturini Pola, Agma J. M. Traina, Caetano Traina Jr.. ssdbm 2009: 417-434 [doi]

Including the perceptual parameter to tune the retrieval ability of pulmonary CBIR systemsMarcelo Ponciano-Silva, Agma J. M. Traina, Paulo M. Azevedo-Marques, Joaquim Cezar Felipe, Caetano Traina Jr.. cbms 2009: 1-8 [doi]

Supporting content-based image retrieval and computer-aided diagnosis systems with association rule-based techniquesMarcela Xavier Ribeiro, Pedro Henrique Bugatti, Caetano Traina Jr., Paulo M. Azevedo-Marques, Natalia Abdala Rosa, Agma J. M. Traina. DKE, 68(12):1370-1382, 2009. [doi]

Mining Climate and Remote Sensing Time Series to Discover the Most Relevant Climate PatternsLuciana A. S. Romani, Ana Maria Heuminski de Ãvila, Jurandir Zullo Jr., Caetano Traina Jr., Agma J. M. Traina. sbbd 2009: 181-195 [doi]

How to Cope with the Performance Gap in Content-Based Image Retrieval SystemsAgma J. M. Traina, Caetano Traina Jr., Cristina Dutra de Aguiar Ciferri, Marcela Xavier Ribeiro, Paulo Mazzoncini de Azevedo Marques. ijhisi, 4(1):47-67, 2009. [doi]

2008

An algorithm for effective deletion and a new optimization technique for metric access methodsRenato Bueno, Agma J. M. Traina, Caetano Traina Jr.. SAC 2008: 1034-1035 [doi]

Assessing the best integration between distance-function and image-feature to answer similarity queriesPedro Henrique Bugatti, Agma J. M. Traina, Caetano Traina Jr.. SAC 2008: 1225-1230 [doi]

Employing Wavelet Transforms to Support Content-Based Retrieval of Medical ImagesCarolina W. da Silva, Marcela Xavier Ribeiro, Agma J. M. Traina, Caetano Traina Jr.. pris 2008: 19-28

The Visual Expression Process: Bridging Vision and Data VisualizationJosé Fernando Rodrigues Jr., André G. R. Balan, Agma J. M. Traina, Caetano Traina Jr.. sg 2008: 207-215 [doi]

Mining Patterns for Visual Interpretation in a Multiple-Views EnvironmentJosé Fernando Rodrigues Jr., Agma J. M. Traina, Caetano Traina Jr.. In Simeon J. Simoff, Michael H. Böhlen, Arturas Mazeika, editors, Visual Data Mining - Theory, Techniques and Tools for Visual Analytics. Volume 4404 of Lecture Notes in Computer Science, pages 196-214, Springer, 2008. [doi]

A novel optimization approach to efficiently process aggregate similarity queries in metric access methodsHumberto Luiz Razente, Maria Camila Nardini Barioni, Agma J. M. Traina, Christos Faloutsos, Caetano Traina Jr.. CIKM 2008: 193-202 [doi]

Aggregate similarity queries in relevance feedback methods for content-based image retrievalHumberto Luiz Razente, Maria Camila Nardini Barioni, Agma J. M. Traina, Caetano Traina Jr.. SAC 2008: 869-874 [doi]

A new algorithm for data discretization and feature selectionMarcela Xavier Ribeiro, Agma J. M. Traina, Caetano Traina Jr.. SAC 2008: 953-954 [doi]

Data pre-processing: a new algorithm for feature selection and data discretizationMarcela Xavier Ribeiro, MÃ´nica Ribeiro Porto Ferreira, Caetano Traina Jr., Agma J. M. Traina. wstst 2008: 252-257 [doi]

An Association Rule-Based Method to Support Medical Image Diagnosis With EfficiencyMarcela Xavier Ribeiro, Agma J. M. Traina, Caetano Traina Jr., Paulo M. Azevedo-Marques. tmm, 10(2):277-285, 2008. [doi]

2007

Biased box sampling - a density-biased sampling for clusteringAna Paula Appel, Adriano Arantes Paterlini, Elaine P. M. de Sousa, Agma J. M. Traina, Caetano Traina Jr.. SAC 2007: 445-446 [doi]

A Density-Biased Sampling Technique to Improve Cluster RepresentativenessAna Paula Appel, Adriano Arantes Paterlini, Elaine P. M. de Sousa, Agma J. M. Traina, Caetano Traina Jr.. pkdd 2007: 366-373 [doi]

MAMCost: Global and Local Estimates leading to Robust Cost Estimation of Similarity QueriesGisele Busichia Baioco, Agma J. M. Traina, Caetano Traina Jr.. ssdbm 2007: 6 [doi]

An effective cost model for similarity queries in metric spacesGisele Busichia Baioco, Agma J. M. Traina, Caetano Traina Jr.. SAC 2007: 527-528 [doi]

HEAD: The Human Encephalon Automatic DelimiterAndré G. R. Balan, Agma J. M. Traina, Marcela Xavier Ribeiro, Paulo M. Azevedo-Marques, Caetano Traina Jr.. cbms 2007: 171-176 [doi]

Horizontal fragmentation as a technique to improve the performance of drill-down and roll-up queriesCristina Dutra de Aguiar Ciferri, Ricardo Rodrigues Ciferri, Diogo Tuler Forlani, Agma J. M. Traina, Fernando da Fonseca de Souza. SAC 2007: 494-499 [doi]

A fast and effective method to find correlations among attributes in databasesElaine P. M. de Sousa, Caetano Traina Jr., Agma J. M. Traina, Leejay Wu, Christos Faloutsos. datamine, 14(3):367-407, 2007. [doi]

An efficient framework for similarity query optimizationMônica R. P. Ferreira, Caetano Traina Jr., Agma J. M. Traina. gis 2007: 62 [doi]

The Omni-family of all-purpose access methods: a simple and effective way to make similarity search more efficientCaetano Traina Jr., Roberto F. Santos Filho, Agma J. M. Traina, Marcos R. Vieira, Christos Faloutsos. vldb, 16(4):483-505, 2007. [doi]

The spatial-perceptual design space: a new comprehension for data visualizationJosé Fernando Rodrigues Jr., Agma J. M. Traina, Maria Cristina Ferreira de Oliveira, Caetano Traina Jr.. ivs, 6(4):261-279, 2007. [doi]

The MM-Tree: A Memory-Based Metric Tree Without Overlap Between NodesIves Rene Venturini Pola, Caetano Traina Jr., Agma J. M. Traina. adbis 2007: 157-171 [doi]

Constrained Aggregate Similarity Queries in Metric SpacesHumberto Luiz Razente, Maria Camila Nardini Barioni, Agma J. M. Traina, Caetano Traina Jr.. sbbd 2007: 145-159 [doi]

SuGAR: A Framework to Support Mammogram DiagnosisMarcela Xavier Ribeiro, Agma J. M. Traina, André G. R. Balan, Caetano Traina Jr., Paulo M. Azevedo-Marques. cbms 2007: 47-52 [doi]

Investigating the potential of art neural network models for indexing and information retrievalRoseli A. F. Romero, José F. Vicentini, Patricia R. Oliveira, Agma J. M. Traina. ijis, 22(4):319-336, 2007. [doi]

Bulk-loading Dynamic Metric Access MethodsThiago Galbiatti Vespa, Caetano Traina Jr., Agma J. M. Traina. sbbd 2007: 160-174 [doi]

Boosting k-Nearest Neighbor Queries Estimating Suitable Query RadiiMarcos R. Vieira, Caetano Traina Jr., Agma J. M. Traina, Adriano S. Arantes, Christos Faloutsos. ssdbm 2007: 10 [doi]

2006

SIREN: A Similarity Retrieval Engine for Complex DataMaria Camila Nardini Barioni, Humberto Luiz Razente, Agma J. M. Traina, Caetano Traina Jr.. VLDB 2006: 1155-1158 [doi]

An Efficient Approach to Scale up k-medoid based Algorithms in Large DatabasesMaria Camila Nardini Barioni, Humberto Luiz Razente, Agma J. M. Traina, Caetano Traina Jr.. sbbd 2006: 265-279 [doi]

Efficient Discovery of Unusual Patterns in Time Series Elaine P. M. de Sousa, Agma J. M. Traina, Caetano Traina Jr., Christos Faloutsos. ngc, 25(1):33-60, 2006. [doi]

Evaluating the intrinsic dimension of evolving data streamsElaine P. M. de Sousa, Agma J. M. Traina, Caetano Traina Jr., Christos Faloutsos. SAC 2006: 643-648 [doi]

Perceptual Distance Functions for Similarity Retrieval of Medical ImagesJoaquim Cezar Felipe, Agma J. M. Traina, Caetano Traina Jr.. civr 2006: 432-442 [doi]

Comparing images with distance functions based on attribute interactionJoaquim Cezar Felipe, Paulo M. Azevedo-Marques, André G. R. Balan, Caetano Traina Jr., Agma J. M. Traina. SAC 2006: 1398-1399 [doi]

Effective shape-based retrieval and classification of mammogramsJoaquim Cezar Felipe, Marcela Xavier Ribeiro, Elaine P. M. de Sousa, Agma J. M. Traina, Caetano Traina Jr.. SAC 2006: 250-255 [doi]

A new similarity measure for histograms applied to content-based retrieval of medical imagesJoaquim Cezar Felipe, Agma J. M. Traina, Caetano Traina Jr.. SAC 2006: 258-259 [doi]

SuperGraph VisualizationJosé Fernando Rodrigues Jr., Agma J. M. Traina, Christos Faloutsos, Caetano Traina Jr.. ism 2006: 227-234 [doi]

Reviewing Data Visualization: an Analytical Taxonomical StudyJosé Fernando Rodrigues Jr., Agma J. M. Traina, Maria Cristina Ferreira de Oliveira, Caetano Traina Jr.. IV 2006: 713-720 [doi]

Efficient processing of complex similarity queries in RDBMS through query rewritingCaetano Traina Jr., Agma J. M. Traina, Marcos R. Vieira, Adriano S. Arantes, Christos Faloutsos. CIKM 2006: 4-13 [doi]

GMine: A System for Scalable, Interactive Graph Visualization and MiningJosé Fernando Rodrigues Jr., Hanghang Tong, Agma J. M. Traina, Christos Faloutsos, Jure Leskovec. VLDB 2006: 1195-1198 [doi]

Automatic mining of fruit fly embryo imagesJia-Yu Pan, André G. R. Balan, Eric P. Xing, Agma J. M. Traina, Christos Faloutsos. kdd 2006: 693-698 [doi]

Distance Functions Association for Content-Based Image Retrieval using Multiple Comparison CriteriaIves Rene Venturini Pola, Agma J. M. Traina, Caetano Traina Jr.. cbms 2006: 899-904 [doi]

Statistical Association Rules and Relevance Feedback: Powerful Allies to Improve the Retrieval of Medical ImagesMarcela Xavier Ribeiro, Joselene Marques, Agma J. M. Traina, Caetano Traina Jr.. cbms 2006: 887-892 [doi]

Fighting the Semantic Gap on CBIR Systems through New Relevance Feedback TechniquesAgma J. M. Traina, Joselene Marques, Caetano Traina Jr.. cbms 2006: 881-886 [doi]

DBM-Tree: Trading Height-Balancing for Performance in Metric Access MethodsMarcos R. Vieira, Caetano Traina Jr., Fabio Jun Takada Chino, Agma J. M. Traina. jbcs, 11(3):37-51, 2006. [doi]

2005

Fractal Analysis of Image Textures for Indexing and Retrieval by ContentAndré G. R. Balan, Agma J. M. Traina, Caetano Traina Jr., Paulo M. Azevedo-Marques. cbms 2005: 581-586 [doi]

Querying complex objects by similarity in SQLMaria Camila Nardini Barioni, Humberto Luiz Razente, Caetano Traina Jr., Agma J. M. Traina. sbbd 2005: 130-144 [doi]

Accelerating approximate similarity queries using genetic algorithmsRenato Bueno, Agma J. M. Traina, Caetano Traina Jr.. SAC 2005: 617-622 [doi]

Algoritmos Genéticos para Consultas por Similaridade AproximadasRenato Bueno, Agma J. M. Traina, Caetano Traina Jr.. sbbd 2005: 190-204 [doi]

MAMView: a visual tool for exploring and understanding metric access methodsFabio Jun Takada Chino, Marcos R. Vieira, Agma J. M. Traina, Caetano Traina Jr.. SAC 2005: 1218-1223 [doi]

A Low-cost Approach for Effective Shape-based Retrieval and Classification of Medical ImagesJoaquim Cezar Felipe, Jonatas B. Olioti, Agma J. M. Traina, Marcela Xavier Ribeiro, Elaine P. M. de Sousa, Caetano Traina Jr.. ism 2005: 565-570 [doi]

Global Warp Metric Distance: Boosting Content-based Image Retrieval through HistogramsJoaquim Cezar Felipe, Agma J. M. Traina, Caetano Traina Jr.. ism 2005: 295-302 [doi]

Enhanced visual evaluation of feature extractors for image miningJosé Fernando Rodrigues Jr., Agma J. M. Traina, Caetano Traina Jr.. aiccsa 2005: 45 [doi]

Visualization Tree, Multiple Linked Analytical DecisionsJosé Fernando Rodrigues Jr., Agma J. M. Traina, Caetano Traina Jr.. sg 2005: 65-76 [doi]

Image domain formalization for content-based image retrievalCaetano Traina Jr., Josiel Maimoni de Figueiredo, Agma J. M. Traina. SAC 2005: 604-609 [doi]

2004

Efficient Algorithms to Execute Complex Similarity Queries in RDBMSAdriano S. Arantes, Marcos R. Vieira, Caetano Traina Jr., Agma J. M. Traina. jbcs, 9(3):5-24, 2004. [doi]

Including Conditional Operators in Content-Based Image Retrieval in Large Sets of Medical ExamsCaetano Traina Jr., Agma J. M. Traina, Josiel Maimoni de Figueiredo. cbms 2004: 85-90 [doi]

Visual Analysis of Feature Selection for Data Mining ProcessesHumberto Luiz Razente, Fabio Jun Takada Chino, Maria Camila Nardini Barioni, Agma J. M. Traina, Caetano Traina Jr.. sbbd 2004: 33-47

Content-based Image Retrieval Using Approximate Shape of ObjectsAgma J. M. Traina, André G. R. Balan, Luis M. Bortolotti, Caetano Traina Jr.. cbms 2004: 91-96 [doi]

Knowledge Extraction using Visualization of Hemoglobin Parameters to Identify ThalassemiaCarlos R. Valencio, Mauricio N. Tronco, Ana C. Bonini-Domingos, Cláudia R. Bonini-Domingos, Caetano Traina Jr., Agma J. M. Traina. cbms 2004: 523-528 [doi]

DBM-Tree: A Dynamic Metric Access Method Sensitive to Local Density DataMarcos R. Vieira, Caetano Traina Jr., Fabio Jun Takada Chino, Agma J. M. Traina. sbbd 2004: 163-177

2003

Operadores de Seleção por Similaridade para Sistemas de Gerenciamento de Bases de Dados RelacionaisAdriano S. Arantes, Marcos R. Vieira, Caetano Traina Jr., Agma J. M. Traina. sbbd 2003: 341-355

Retrieval by Content of Medical Images Using Texture for Tissue IdentificationJoaquim Cezar Felipe, Agma J. M. Traina, Caetano Traina Jr.. cbms 2003: 175 [doi]

Frequency Plot and Relevance Plot to Enhance Visual Data ExplorationJosé Fernando Rodrigues Jr., Agma J. M. Traina, Caetano Traina Jr.. sibgrapi 2003: 117-124 [doi]

Using Efficient Visual Exploration Techniques to Evaluate Features for Content-Based Image RetrievalJosé Fernando Rodrigues Jr., César A. B. Castañón, Caetano Traina Jr., Agma J. M. Traina. sibgrapi 2003: 183-190 [doi]

MultiWaveMed: A System for Medical Image Retrieval through Wavelets TransformationsAgma J. M. Traina, César A. B. Castañón, Caetano Traina Jr.. cbms 2003: 150-155 [doi]

Efficient Content-Based Image Retrieval through Metric HistogramsAgma J. M. Traina, Caetano Traina Jr., Josiane M. Bueno, Fabio Jun Takada Chino, Paulo M. Azevedo-Marques. www, 6(2):157-185, 2003.

Integrating Images to Patient Electronic Medical Records through Content-Based Retrieval TechniquesAgma J. M. Traina, Natalia Abdala Rosa, Caetano Traina Jr.. cbms 2003: 163-168 [doi]

2002

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