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Caetano Traina Jr.: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Caetano Traina Jr., João Eduardo Ferreira, Mauro Biajiz
    Use of a Semantically Grained Database System for Distribution and Control Within Design Environments. [Citation Graph (1, 0)][DBLP]
    Euro-Par, 1997, pp:1130-1134 [Conf]
  2. Caetano Traina Jr., Agma J. M. Traina, Christos Faloutsos
    Distance Exponent: A New Concept for Selectivity Estimation in Metric Trees. [Citation Graph (1, 0)][DBLP]
    ICDE, 2000, pp:195- [Conf]
  3. Maria Camila Nardini Barioni, Humberto Luiz Razente, Caetano Traina Jr., Agma J. M. Traina
    Visually Mining on Multiple Relational Tables at Once. [Citation Graph (0, 0)][DBLP]
    ADBIS Research Communications, 2002, pp:21-30 [Conf]
  4. Elaine P. Machado, Caetano Traina Jr., Myrian R. B. Araujo
    Classification Abstraction: An Intrinsic Element in Database Systems. [Citation Graph (0, 0)][DBLP]
    ADVIS, 2000, pp:57-70 [Conf]
  5. André G. R. Balan, Agma J. M. Traina, Caetano Traina Jr., Paulo M. Azevedo-Marques
    Fractal Analysis of Image Textures for Indexing and Retrieval by Content. [Citation Graph (0, 0)][DBLP]
    CBMS, 2005, pp:581-586 [Conf]
  6. Josiane M. Bueno, Fabio Jun Takada Chino, Agma J. M. Traina, Caetano Traina Jr., Paulo M. Azevedo-Marques
    How to Add Content-based Image Retrieval Capability in a PACS. [Citation Graph (0, 0)][DBLP]
    CBMS, 2002, pp:321-326 [Conf]
  7. Myrian R. B. Araujo, Caetano Traina Jr., Agma J. M. Traina, Josiane M. Bueno, Humberto Luiz Razente
    Extending Relational atabases to Support Content-based Retrieval of Medical Images. [Citation Graph (0, 0)][DBLP]
    CBMS, 2002, pp:303-308 [Conf]
  8. Joaquim Cezar Felipe, Agma J. M. Traina, Caetano Traina Jr.
    Retrieval by Content of Medical Images Using Texture for Tissue Identification. [Citation Graph (0, 0)][DBLP]
    CBMS, 2003, pp:175-0 [Conf]
  9. Ives R. V. Pola, Agma J. M. Traina, Caetano Traina Jr.
    Distance Functions Association for Content-Based Image Retrieval using Multiple Comparison Criteria. [Citation Graph (0, 0)][DBLP]
    CBMS, 2006, pp:899-904 [Conf]
  10. Marcela Xavier Ribeiro, Joselene Marques, Agma J. M. Traina, Caetano Traina Jr.
    Statistical Association Rules and Relevance Feedback: Powerful Allies to Improve the Retrieval of Medical Images. [Citation Graph (0, 0)][DBLP]
    CBMS, 2006, pp:887-892 [Conf]
  11. Agma J. M. Traina, André G. R. Balan, Luis M. Bortolotti, Caetano Traina Jr.
    Content-based Image Retrieval Using Approximate Shape of Objects. [Citation Graph (0, 0)][DBLP]
    CBMS, 2004, pp:91-96 [Conf]
  12. Agma J. M. Traina, César A. B. Castañón, Caetano Traina Jr.
    MultiWaveMed: A System for Medical Image Retrieval through Wavelets Transformations. [Citation Graph (0, 0)][DBLP]
    CBMS, 2003, pp:150-155 [Conf]
  13. Agma J. M. Traina, Joselene Marques, Caetano Traina Jr.
    Fighting the Semantic Gap on CBIR Systems through New Relevance Feedback Techniques. [Citation Graph (0, 0)][DBLP]
    CBMS, 2006, pp:881-886 [Conf]
  14. Agma J. M. Traina, Natalia A. Rosa, Caetano Traina Jr.
    Integrating Images to Patient Electronic Medical Records through Content-Based Retrieval Techniques. [Citation Graph (0, 0)][DBLP]
    CBMS, 2003, pp:163-168 [Conf]
  15. Caetano Traina Jr., Agma J. M. Traina, Josiel Maimoni de Figueiredo
    Including Conditional Operators in Content-Based Image Retrieval in Large Sets of Medical Exams. [Citation Graph (0, 0)][DBLP]
    CBMS, 2004, pp:85-90 [Conf]
  16. Carlos R. Valencio, Mauricio N. Tronco, Ana C. Bonini-Domingos, Cláudia R. Bonini-Domingos, Caetano Traina Jr., Agma J. M. Traina
    Knowledge Extraction using Visualization of Hemoglobin Parameters to Identify Thalassemia. [Citation Graph (0, 0)][DBLP]
    CBMS, 2004, pp:523-528 [Conf]
  17. Caetano Traina Jr., Agma J. M. Traina, Roberto F. Santos Filho, Christos Faloutsos
    How to improve the pruning ability of dynamic metric access methods. [Citation Graph (0, 0)][DBLP]
    CIKM, 2002, pp:219-226 [Conf]
  18. Caetano Traina Jr., Agma J. M. Traina, Marcos R. Vieira, Adriano S. Arantes, Christos Faloutsos
    Efficient processing of complex similarity queries in RDBMS through query rewriting. [Citation Graph (0, 0)][DBLP]
    CIKM, 2006, pp:4-13 [Conf]
  19. Joaquim Cezar Felipe, Agma J. M. Traina, Caetano Traina Jr.
    Perceptual Distance Functions for Similarity Retrieval of Medical Images. [Citation Graph (0, 0)][DBLP]
    CIVR, 2006, pp:432-442 [Conf]
  20. Caetano Traina Jr., Agma J. M. Traina, Bernhard Seeger, Christos Faloutsos
    Slim-Trees: High Performance Metric Trees Minimizing Overlap Between Nodes. [Citation Graph (0, 16)][DBLP]
    EDBT, 2000, pp:51-65 [Conf]
  21. Marisa Beck Figueiredo, Caetano Traina Jr., Agma J. M. Traina
    Content-Based Retrieval of Musical Scores in an Object-Oriented Database System. [Citation Graph (0, 0)][DBLP]
    IADT, 1998, pp:352-359 [Conf]
  22. Caetano Traina Jr., Agma J. M. Traina, Rildo R. dos Santos, Edna Y. Senzako
    A Tool for Content-Based Image Retrieval in Object-Oriented Databases. [Citation Graph (0, 0)][DBLP]
    IADT, 1998, pp:344-351 [Conf]
  23. Roberto F. Santos Filho, Agma J. M. Traina, Caetano Traina Jr., Christos Faloutsos
    Similarity Search without Tears: The OMNI Family of All-purpose Access Methods. [Citation Graph (0, 0)][DBLP]
    ICDE, 2001, pp:623-630 [Conf]
  24. Myrian R. B. Araujo, Agma J. M. Traina, Caetano Traina Jr.
    Extending SQL to Support Image Content-based Retrieval. [Citation Graph (0, 0)][DBLP]
    ISDB, 2002, pp:19-24 [Conf]
  25. Maria Camila Nardini Barioni, Elisângela Botelho, Christos Faloutsos, Humberto Luiz Razente, Agma J. M. Traina, Caetano Traina Jr.
    Data Visualization in RDBMS. [Citation Graph (0, 0)][DBLP]
    ISDB, 2002, pp:264-269 [Conf]
  26. Joaquim Cezar Felipe, Jonatas B. Olioti, Agma J. M. Traina, Marcela Xavier Ribeiro, Elaine P. M. de Sousa, Caetano Traina Jr.
    A Low-cost Approach for Effective Shape-based Retrieval and Classification of Medical Images. [Citation Graph (0, 0)][DBLP]
    ISM, 2005, pp:565-570 [Conf]
  27. Joaquim Cezar Felipe, Agma J. M. Traina, Caetano Traina Jr.
    Global Warp Metric Distance: Boosting Content-based Image Retrieval through Histograms. [Citation Graph (0, 0)][DBLP]
    ISM, 2005, pp:295-302 [Conf]
  28. José Fernando Rodrigues Jr., Agma J. M. Traina, Christos Faloutsos, Caetano Traina Jr.
    SuperGraph Visualization. [Citation Graph (0, 0)][DBLP]
    ISM, 2006, pp:227-234 [Conf]
  29. José Fernando Rodrigues Jr., Agma J. M. Traina, Maria Cristina Ferreira de Oliveira, Caetano Traina Jr.
    Reviewing Data Visualization: an Analytical Taxonomical Study. [Citation Graph (0, 0)][DBLP]
    IV, 2006, pp:713-720 [Conf]
  30. Agma J. M. Traina, Caetano Traina Jr., Spiros Papadimitriou, Christos Faloutsos
    Tri-plots: scalable tools for multidimensional data mining. [Citation Graph (0, 0)][DBLP]
    KDD, 2001, pp:184-193 [Conf]
  31. Renato Bueno, Agma J. M. Traina, Caetano Traina Jr.
    Accelerating approximate similarity queries using genetic algorithms. [Citation Graph (0, 0)][DBLP]
    SAC, 2005, pp:617-622 [Conf]
  32. Fabio Jun Takada Chino, Marcos R. Vieira, Agma J. M. Traina, Caetano Traina Jr.
    MAMView: a visual tool for exploring and understanding metric access methods. [Citation Graph (0, 0)][DBLP]
    SAC, 2005, pp:1218-1223 [Conf]
  33. Joaquim Cezar Felipe, Paulo M. Azevedo-Marques, André G. R. Balan, Caetano Traina Jr., Agma J. M. Traina
    Comparing images with distance functions based on attribute interaction. [Citation Graph (0, 0)][DBLP]
    SAC, 2006, pp:1398-1399 [Conf]
  34. Joaquim Cezar Felipe, Marcela Xavier Ribeiro, Elaine P. M. de Sousa, Agma J. M. Traina, Caetano Traina Jr.
    Effective shape-based retrieval and classification of mammograms. [Citation Graph (0, 0)][DBLP]
    SAC, 2006, pp:250-255 [Conf]
  35. Joaquim Cezar Felipe, Agma J. M. Traina, Caetano Traina Jr.
    A new similarity measure for histograms applied to content-based retrieval of medical images. [Citation Graph (0, 0)][DBLP]
    SAC, 2006, pp:258-259 [Conf]
  36. Elaine P. M. de Sousa, Agma J. M. Traina, Caetano Traina Jr., Christos Faloutsos
    Evaluating the intrinsic dimension of evolving data streams. [Citation Graph (0, 0)][DBLP]
    SAC, 2006, pp:643-648 [Conf]
  37. Caetano Traina Jr., Josiel Maimoni de Figueiredo, Agma J. M. Traina
    Image domain formalization for content-based image retrieval. [Citation Graph (0, 0)][DBLP]
    SAC, 2005, pp:604-609 [Conf]
  38. Caetano Traina Jr., Agma J. M. Traina, Rildo R. dos Santos, Edna Y. Senzako
    Support to content-based image query in object-oriented databases. [Citation Graph (0, 0)][DBLP]
    SAC, 1998, pp:241-247 [Conf]
  39. Ana Paula Appel, Adriano Arantes Paterlini, Elaine P. M. de Sousa, Agma J. M. Traina, Caetano Traina Jr.
    Biased box sampling - a density-biased sampling for clustering. [Citation Graph (0, 0)][DBLP]
    SAC, 2007, pp:445-446 [Conf]
  40. Gisele Busichia Baioco, Agma J. M. Traina, Caetano Traina Jr.
    An effective cost model for similarity queries in metric spaces. [Citation Graph (0, 0)][DBLP]
    SAC, 2007, pp:527-528 [Conf]
  41. Adriano S. Arantes, Marcos R. Vieira, Caetano Traina Jr., Agma J. M. Traina
    Operadores de Seleção por Similaridade para Sistemas de Gerenciamento de Bases de Dados Relacionais. [Citation Graph (0, 0)][DBLP]
    SBBD, 2003, pp:341-355 [Conf]
  42. Maria Camila Nardini Barioni, Humberto Luiz Razente, Caetano Traina Jr., Agma J. M. Traina
    Querying complex objects by similarity in SQL. [Citation Graph (0, 0)][DBLP]
    SBBD, 2005, pp:130-144 [Conf]
  43. Renato Bueno, Agma J. M. Traina, Caetano Traina Jr.
    Algoritmos Genéticos para Consultas por Similaridade Aproximadas. [Citation Graph (0, 0)][DBLP]
    SBBD, 2005, pp:190-204 [Conf]
  44. Humberto Luiz Razente, Fabio Jun Takada Chino, Maria Camila Nardini Barioni, Agma J. M. Traina, Caetano Traina Jr.
    Visual Analysis of Feature Selection for Data Mining Processes. [Citation Graph (0, 0)][DBLP]
    SBBD, 2004, pp:33-47 [Conf]
  45. Agma J. M. Traina, Caetano Traina Jr., Elisângela Botelho, Maria Camila Nardini Barioni, Renato Bueno
    Visualização de Dados em Sistemas de Bases de Dados Relacionais. [Citation Graph (0, 0)][DBLP]
    SBBD, 2001, pp:95-109 [Conf]
  46. Caetano Traina Jr., Agma J. M. Traina, Roberto F. Santos Filho
    Consultas por Similaridade em Dados Multimídia. [Citation Graph (0, 0)][DBLP]
    SBBD, 2001, pp:6-7 [Conf]
  47. Caetano Traina Jr., Agma J. M. Traina, Leejay Wu, Christos Faloutsos
    Fast Feature Selection Using Fractal Dimension. [Citation Graph (0, 0)][DBLP]
    SBBD, 2000, pp:158-171 [Conf]
  48. Marcos R. Vieira, Caetano Traina Jr., Fabio Jun Takada Chino, Agma J. M. Traina
    DBM-Tree: A Dynamic Metric Access Method Sensitive to Local Density Data. [Citation Graph (0, 0)][DBLP]
    SBBD, 2004, pp:163-177 [Conf]
  49. Claudio Haruo Yamamoto, Mauro Biajiz, Caetano Traina Jr.
    Aumento da Eficiência das Estruturas de Indexação Métricas com Uso de Conceitos da Lógica Nebulosa. [Citation Graph (0, 0)][DBLP]
    SBBD, 2003, pp:185-199 [Conf]
  50. Maria Camila Nardini Barioni, Humberto Luiz Razente, Agma J. M. Traina, Caetano Traina Jr.
    An Efficient Approach to Scale up k-medoid based Algorithms in Large Databases. [Citation Graph (0, 0)][DBLP]
    SBBD, 2006, pp:265-279 [Conf]
  51. José Fernando Rodrigues Jr., Agma J. M. Traina, Caetano Traina Jr.
    Visualization Tree, Multiple Linked Analytical Decisions. [Citation Graph (0, 0)][DBLP]
    Smart Graphics, 2005, pp:65-76 [Conf]
  52. José Fernando Rodrigues Jr., César A. B. Castañón, Caetano Traina Jr., Agma J. M. Traina
    Using Efficient Visual Exploration Techniques to Evaluate Features for Content-Based Image Retrieval. [Citation Graph (0, 0)][DBLP]
    SIBGRAPI, 2003, pp:183-190 [Conf]
  53. José Fernando Rodrigues Jr., Agma J. M. Traina, Caetano Traina Jr.
    Frequency Plot and Relevance Plot to Enhance Visual Data Exploration. [Citation Graph (0, 0)][DBLP]
    SIBGRAPI, 2003, pp:117-124 [Conf]
  54. Christos Faloutsos, Bernhard Seeger, Agma J. M. Traina, Caetano Traina Jr.
    Spatial Join Selectivity Using Power Laws. [Citation Graph (0, 29)][DBLP]
    SIGMOD Conference, 2000, pp:177-188 [Conf]
  55. Paulo M. Azevedo-Marques, Agma J. M. Traina, Caetano Traina Jr., Josiane M. Bueno
    The Metric Histogram: A New and Efficient Approach for Content-based Image Retrieval. [Citation Graph (0, 0)][DBLP]
    VDB, 2002, pp:297-311 [Conf]
  56. Maria Camila Nardini Barioni, Humberto Luiz Razente, Agma J. M. Traina, Caetano Traina Jr.
    SIREN: A Similarity Retrieval Engine for Complex Data. [Citation Graph (0, 0)][DBLP]
    VLDB, 2006, pp:1155-1158 [Conf]
  57. Caetano Traina Jr., Agma J. M. Traina, Christos Faloutsos, Bernhard Seeger
    Fast Indexing and Visualization of Metric Data Sets using Slim-Trees. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2002, v:14, n:2, pp:244-260 [Journal]
  58. Agma J. M. Traina, Caetano Traina Jr., Josiane M. Bueno, Fabio Jun Takada Chino, Paulo M. Azevedo-Marques
    Efficient Content-Based Image Retrieval through Metric Histograms. [Citation Graph (0, 0)][DBLP]
    World Wide Web, 2003, v:6, n:2, pp:157-185 [Journal]
  59. Ives Rene Venturini Pola, Caetano Traina Jr., Agma J. M. Traina
    The MM-Tree: A Memory-Based Metric Tree Without Overlap Between Nodes. [Citation Graph (0, 0)][DBLP]
    ADBIS, 2007, pp:157-171 [Conf]
  60. José Fernando Rodrigues Jr., Agma J. M. Traina, Caetano Traina Jr.
    Enhanced visual evaluation of feature extractors for image mining. [Citation Graph (0, 0)][DBLP]
    AICCSA, 2005, pp:45- [Conf]
  61. André G. R. Balan, Agma J. M. Traina, Marcela Xavier Ribeiro, Paulo M. Azevedo-Marques, Caetano Traina Jr.
    HEAD: The Human Encephalon Automatic Delimiter. [Citation Graph (0, 0)][DBLP]
    CBMS, 2007, pp:171-176 [Conf]
  62. Marcela Xavier Ribeiro, Agma J. M. Traina, André G. R. Balan, Caetano Traina Jr., Paulo M. Azevedo-Marques
    SuGAR: A Framework to Support Mammogram Diagnosis. [Citation Graph (0, 0)][DBLP]
    CBMS, 2007, pp:47-52 [Conf]
  63. Ana Paula Appel, Adriano Arantes Paterlini, Elaine P. M. de Sousa, Agma J. M. Traina, Caetano Traina Jr.
    A Density-Biased Sampling Technique to Improve Cluster Representativeness. [Citation Graph (0, 0)][DBLP]
    PKDD, 2007, pp:366-373 [Conf]
  64. Gisele Busichia Baioco, Agma J. M. Traina, Caetano Traina Jr.
    MAMCost: Global and Local Estimates leading to Robust Cost Estimation of Similarity Queries. [Citation Graph (0, 0)][DBLP]
    SSDBM, 2007, pp:6- [Conf]
  65. Marcos R. Vieira, Caetano Traina Jr., Agma J. M. Traina, Adriano S. Arantes, Christos Faloutsos
    Boosting k-Nearest Neighbor Queries Estimating Suitable Query Radii. [Citation Graph (0, 0)][DBLP]
    SSDBM, 2007, pp:10- [Conf]
  66. Elaine P. M. de Sousa, Caetano Traina Jr., Agma J. M. Traina, Leejay Wu, Christos Faloutsos
    A fast and effective method to find correlations among attributes in databases. [Citation Graph (0, 0)][DBLP]
    Data Min. Knowl. Discov., 2007, v:14, n:3, pp:367-407 [Journal]
  67. Caetano Traina Jr., Roberto F. Santos Filho, Agma J. M. Traina, Marcos R. Vieira, Christos Faloutsos
    The Omni-family of all-purpose access methods: a simple and effective way to make similarity search more efficient. [Citation Graph (0, 0)][DBLP]
    VLDB J., 2007, v:16, n:4, pp:483-505 [Journal]

  68. nsP-index: A Robust and Persistent Index for Nucleotide Sequences. [Citation Graph (, )][DBLP]


  69. The Onion-Tree: Quick Indexing of Complex Data in the Main Memory. [Citation Graph (, )][DBLP]


  70. Content-Based Retrieval of Medical Images by Continuous Feature Selection. [Citation Graph (, )][DBLP]


  71. How to Improve Medical Image Diagnosis through Association Rules: The IDEA Method. [Citation Graph (, )][DBLP]


  72. Ranking evaluation functions to improve genetic feature selection in content-based image retrieval of mammograms. [Citation Graph (, )][DBLP]


  73. Content-based retrieval of medical images: From context to perception. [Citation Graph (, )][DBLP]


  74. Including the perceptual parameter to tune the retrieval ability of pulmonary CBIR systems. [Citation Graph (, )][DBLP]


  75. Unsupervised scaling of multi-descriptor similarity functions for medical image datasets. [Citation Graph (, )][DBLP]


  76. A novel optimization approach to efficiently process aggregate similarity queries in metric access methods. [Citation Graph (, )][DBLP]


  77. An efficient framework for similarity query optimization. [Citation Graph (, )][DBLP]


  78. Finding Clusters in subspaces of very large, multi-dimensional datasets. [Citation Graph (, )][DBLP]


  79. Metric Data Analysis Enhanced through Temporal Visualization. [Citation Graph (, )][DBLP]


  80. Combining Visual Analytics and Content Based Data Retrieval Technology for Efficient Data Analysis. [Citation Graph (, )][DBLP]


  81. Employing Wavelet Transforms to Support Content-Based Retrieval of Medical Images. [Citation Graph (, )][DBLP]


  82. Aggregate similarity queries in relevance feedback methods for content-based image retrieval. [Citation Graph (, )][DBLP]


  83. Assessing the best integration between distance-function and image-feature to answer similarity queries. [Citation Graph (, )][DBLP]


  84. An algorithm for effective deletion and a new optimization technique for metric access methods. [Citation Graph (, )][DBLP]


  85. A new algorithm for data discretization and feature selection. [Citation Graph (, )][DBLP]


  86. CLEARMiner: a new algorithm for mining association patterns on heterogeneous time series from climate data. [Citation Graph (, )][DBLP]


  87. Bulk-loading Dynamic Metric Access Methods. [Citation Graph (, )][DBLP]


  88. Constrained Aggregate Similarity Queries in Metric Spaces. [Citation Graph (, )][DBLP]


  89. Reconciliando Dados de Cunho Acadêmico. [Citation Graph (, )][DBLP]


  90. Paginação de Resultados em Consultas por Abrangência. [Citation Graph (, )][DBLP]


  91. Incorporating Metric Access Methods for Similarity Searching on Oracle Database. [Citation Graph (, )][DBLP]


  92. Mining Climate and Remote Sensing Time Series to Discover the Most Relevant Climate Patterns. [Citation Graph (, )][DBLP]


  93. The Visual Expression Process: Bridging Vision and Data Visualization. [Citation Graph (, )][DBLP]


  94. Time-Aware Similarity Search: A Metric-Temporal Representation for Complex Data. [Citation Graph (, )][DBLP]


  95. Easing the Dimensionality Curse by Stretching Metric Spaces. [Citation Graph (, )][DBLP]


  96. A New Approach for Optimization of Dynamic Metric Access Methods Using an Algorithm of Effective Deletion. [Citation Graph (, )][DBLP]


  97. Data pre-processing: a new algorithm for feature selection and data discretization. [Citation Graph (, )][DBLP]


  98. Identifying Algebraic Properties to Support Optimization of Unary Similarity Queries. [Citation Graph (, )][DBLP]


  99. Genetic algorithms for approximate similarity queries. [Citation Graph (, )][DBLP]


  100. Supporting content-based image retrieval and computer-aided diagnosis systems with association rule-based techniques. [Citation Graph (, )][DBLP]


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