Visualization Research at the Software Engineering and Information Systems Laboratory (SEIS)
Resumo
This paper summarizes twelve years of visualization research at the Software Engineering and Information Systems Laboratory (SEIS), located at the University of Campinas. This research comprises theoretical and applied research in visualization and embraces themes such as the development of matrix reordering algorithms, the creation of heuristics for visualization, and the application of visualization techniques to areas such as oil engineering and educational data mining.
Referências
C. G. da Silva, “An information visualization-based approach for exploring databases: A case study for learning management systems,” in Innovative Approaches of Data Visualization and Visual Analytics, M. Huang and W. Huang, Eds. IGI Global, 2014, pp. 288–315. [Online]. Available: http://doi:10.4018/978-1-4666-4309-3.ch014
C. G. da Silva, M. F. de Melo, F. P. Silva, and J. Meidanis, “PQR sort: using PQR trees for binary matrix reorganization,” Journal of the Brazilian Computer Society, vol. 20, no. 1, 2014.
C. G. Silva, B. F. Medina, M. R. Silva, W. H. Kawakami, and M. M. N. Rocha, “A fast feature vector approach for revealing simplex and equi-correlation data patterns in reorderable matrices,” Information Visualization, vol. 16, no. 4, pp. 261–274, 2017.
A. M. Santos, B. F. Medina, and C. G. Silva, “Block reordering: Um algoritmo para evidenciar padrão block em matrizes reordenáveis,” in Workshop of Undergraduate Works (WUW) in the 29th Conference on Graphics, Patterns and Images (SIBGRAPI’16), J. dos Santos and A. Maciel, Eds., São José dos Campos, SP, Brazil, 2016. [Online]. Available: http://gibis.unifesp.br/sibgrapi16
C. G. Silva, “Polar Sort: combining multidimensional scaling and polar coordinates for matrix reordering,” in Proceedings of the International Conferences Interfaces and Human Computer Interaction 2019; Game and Entertainment Technologies 2019; and Computer Graphics, Visualization, Computer Vision and Image Processing 2019, Porto, Portugal, 2019, pp. 239–243, (Best paper award).
——, “Hybrid Sort - a pattern-focused matrix reordering approach based on classification,” in Proceedings of the International Conferences on Computer Graphics, Visualization, Computer Vision and Image Processing 2020, Big Data Analytics, Data Mining and Computational Intelligence 2020, and Theory and Practice in Modern Computing 2020, Online, 2020, pp. 35–43, (Best paper award).
——, “Using fast multidimensional projections to reveal band and circumplex patterns in reorderable matrices,” in Proceedings of the International Conferences Computer Graphics, Visualization, Computer Vision and Image Processing 2021; Connected Smart Cities 2021; and Big Data Analytics, Data Mining and Computational Intelligence 2021, Online, 2021, pp. 3–10, (Best paper award).
L. Wilkinson, The Grammar of Graphics. Springer Science & Business Media, 2005.
M. M. N. Rocha, P. K. Roque Jr., and C. G. da Silva, “Circumplex sort: a two-phase method for revealing circumplex data patterns in reorderable matrices,” in Proceedings of International Conferences Computer Graphics, Visualization, Computer Vision and Image Processing 2017 and Big Data Analytics, Data Mining and Computational Intelligence 2017, 2017, pp. 181–188.
M. M. N. Rocha and C. G. da Silva, “Heatmap matrix: a multidimensional data visualization technique,” in Proceedings of the 31st Conference on Graphics, Patterns and Images (SIBGRAPI), 2018. [Online]. Available: http://sibgrapi.sid.inpe.br/rep/sid.inpe.br/sibgrapi/2018/10.18.02.37
M. R. de Oliveira, P. J. C. de Mendonça, A. F. G. Leardine, V. P. Gonçalves, B. F. Medina, and C. G. da Silva, “CourseViewer – a prototype for visualizing undergraduate courses and student transcripts,” in Workshop of Undergraduate Works (WUW) in SIBGRAPI 2013 (XXVI Conference on Graphics, Patterns and Images), D. M. Maria Andreia Rodrigues, Ed., Arequipa, Peru, august 2013. [Online]. Available: http://www.ucsp.edu.pe/sibgrapi2013/eproceedings/
R. T. C. Barros, T. G. Mendes, and C. G. Silva, “Use of reorderable matrices and heatmaps to support data analysis of students transcripts,” in Companion Proceedings of the 32nd SIBGRAPI — Conference on Graphics, Patterns and Images. Porto Alegre, RS, Brasil: SBC, 2019, pp. 219–222. [Online]. Available: https://sol.sbc.org.br/index.php/sibgrapi_estendido/article/view/8334
C. G. da Silva, A. A. S. Santos, and D. J. Schiozer, “Visualization of ensembles of oil reservoir models based on pixelization, small multiples and reservoir similarities,” in Offshore Technology Conference Brasil, 2019. [Online]. Available: https://doi.org/10.4043/29788-MS
C. G. Silva, L. A. A. Meira, A. A. S. Santos, and D. J. Schiozer, “Using reorderable matrices to compare risk curves of representative models in oil reservoir development and management activities,” in Proceedings of the International Conferences on Computer Graphics, Visualization, Computer Vision and Image Processing 2020, Big Data Analytics, Data Mining and Computational Intelligence 2020, and Theory and Practice in Modern Computing 2020, 2020, pp. 19–26.
M. R. de Oliveira and C. G. da Silva, “Adapting heuristic evaluation to information visualization – a method for defining a heuristic set by heuristic grouping,” in Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 3: IVAPP, 2017, pp. 225–232. [Online]. Available: https://www.scitepress.org/papers/2017/61332/61332.pdf
J. R. Marchete Filho and C. G. Silva, “Using PQR-trees for reducing edge crossings in layered directed acyclic graphs,” in Workshop of Works in Progress (WIP) in SIBGRAPI 2013 (XXVI Conference on Graphics, Patterns and Images), S. M. Alejandro C. Frery, Ed., Arequipa, Peru, august 2013. [Online]. Available: http://www.ucsp.edu.pe/sibgrapi2013/eproceedings/
C. G. da Silva, J. Meidanis, A. V. Moura, M. A. Souza, P. Viadanna, M. R. de Oliveira, M. R. de Oliveira, L. H. Jardim, G. A. Costa Lima, and R. S. de Barros, “An improved visualization-based approach for project portfolio selection,” Computers in Human Behavior, vol. 73, pp. 685–696, 2017. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S0747563216309128
C. G. da Silva and G. de Aragão Umbuzeiro, “Enhancing visual analysis of environmental monitoring data through an information visualization-based prototype,” in Anais do XXX Congresso da Sociedade Brasileira de Computação, Belo Horizonte, 2010, pp. 575–584. [Online]. Available: https://doi.org/10.4043/29788-MS
M. Flynn, C. G. Silva, P. Y. G. Sumida, A. Z. Guth, B. G. R. Alves, and G. Umbuzeiro, “Vissed software as a tool in monitoring programs for benthic data interpretation,” RevInter, vol. 8, pp. 22–35, 2015. [Online]. Available: [link].
C. G. da Silva, M. F. de Melo, F. P. Silva, and J. Meidanis, “PQR sort: using PQR trees for binary matrix reorganization,” Journal of the Brazilian Computer Society, vol. 20, no. 1, 2014.
C. G. Silva, B. F. Medina, M. R. Silva, W. H. Kawakami, and M. M. N. Rocha, “A fast feature vector approach for revealing simplex and equi-correlation data patterns in reorderable matrices,” Information Visualization, vol. 16, no. 4, pp. 261–274, 2017.
A. M. Santos, B. F. Medina, and C. G. Silva, “Block reordering: Um algoritmo para evidenciar padrão block em matrizes reordenáveis,” in Workshop of Undergraduate Works (WUW) in the 29th Conference on Graphics, Patterns and Images (SIBGRAPI’16), J. dos Santos and A. Maciel, Eds., São José dos Campos, SP, Brazil, 2016. [Online]. Available: http://gibis.unifesp.br/sibgrapi16
C. G. Silva, “Polar Sort: combining multidimensional scaling and polar coordinates for matrix reordering,” in Proceedings of the International Conferences Interfaces and Human Computer Interaction 2019; Game and Entertainment Technologies 2019; and Computer Graphics, Visualization, Computer Vision and Image Processing 2019, Porto, Portugal, 2019, pp. 239–243, (Best paper award).
——, “Hybrid Sort - a pattern-focused matrix reordering approach based on classification,” in Proceedings of the International Conferences on Computer Graphics, Visualization, Computer Vision and Image Processing 2020, Big Data Analytics, Data Mining and Computational Intelligence 2020, and Theory and Practice in Modern Computing 2020, Online, 2020, pp. 35–43, (Best paper award).
——, “Using fast multidimensional projections to reveal band and circumplex patterns in reorderable matrices,” in Proceedings of the International Conferences Computer Graphics, Visualization, Computer Vision and Image Processing 2021; Connected Smart Cities 2021; and Big Data Analytics, Data Mining and Computational Intelligence 2021, Online, 2021, pp. 3–10, (Best paper award).
L. Wilkinson, The Grammar of Graphics. Springer Science & Business Media, 2005.
M. M. N. Rocha, P. K. Roque Jr., and C. G. da Silva, “Circumplex sort: a two-phase method for revealing circumplex data patterns in reorderable matrices,” in Proceedings of International Conferences Computer Graphics, Visualization, Computer Vision and Image Processing 2017 and Big Data Analytics, Data Mining and Computational Intelligence 2017, 2017, pp. 181–188.
M. M. N. Rocha and C. G. da Silva, “Heatmap matrix: a multidimensional data visualization technique,” in Proceedings of the 31st Conference on Graphics, Patterns and Images (SIBGRAPI), 2018. [Online]. Available: http://sibgrapi.sid.inpe.br/rep/sid.inpe.br/sibgrapi/2018/10.18.02.37
M. R. de Oliveira, P. J. C. de Mendonça, A. F. G. Leardine, V. P. Gonçalves, B. F. Medina, and C. G. da Silva, “CourseViewer – a prototype for visualizing undergraduate courses and student transcripts,” in Workshop of Undergraduate Works (WUW) in SIBGRAPI 2013 (XXVI Conference on Graphics, Patterns and Images), D. M. Maria Andreia Rodrigues, Ed., Arequipa, Peru, august 2013. [Online]. Available: http://www.ucsp.edu.pe/sibgrapi2013/eproceedings/
R. T. C. Barros, T. G. Mendes, and C. G. Silva, “Use of reorderable matrices and heatmaps to support data analysis of students transcripts,” in Companion Proceedings of the 32nd SIBGRAPI — Conference on Graphics, Patterns and Images. Porto Alegre, RS, Brasil: SBC, 2019, pp. 219–222. [Online]. Available: https://sol.sbc.org.br/index.php/sibgrapi_estendido/article/view/8334
C. G. da Silva, A. A. S. Santos, and D. J. Schiozer, “Visualization of ensembles of oil reservoir models based on pixelization, small multiples and reservoir similarities,” in Offshore Technology Conference Brasil, 2019. [Online]. Available: https://doi.org/10.4043/29788-MS
C. G. Silva, L. A. A. Meira, A. A. S. Santos, and D. J. Schiozer, “Using reorderable matrices to compare risk curves of representative models in oil reservoir development and management activities,” in Proceedings of the International Conferences on Computer Graphics, Visualization, Computer Vision and Image Processing 2020, Big Data Analytics, Data Mining and Computational Intelligence 2020, and Theory and Practice in Modern Computing 2020, 2020, pp. 19–26.
M. R. de Oliveira and C. G. da Silva, “Adapting heuristic evaluation to information visualization – a method for defining a heuristic set by heuristic grouping,” in Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 3: IVAPP, 2017, pp. 225–232. [Online]. Available: https://www.scitepress.org/papers/2017/61332/61332.pdf
J. R. Marchete Filho and C. G. Silva, “Using PQR-trees for reducing edge crossings in layered directed acyclic graphs,” in Workshop of Works in Progress (WIP) in SIBGRAPI 2013 (XXVI Conference on Graphics, Patterns and Images), S. M. Alejandro C. Frery, Ed., Arequipa, Peru, august 2013. [Online]. Available: http://www.ucsp.edu.pe/sibgrapi2013/eproceedings/
C. G. da Silva, J. Meidanis, A. V. Moura, M. A. Souza, P. Viadanna, M. R. de Oliveira, M. R. de Oliveira, L. H. Jardim, G. A. Costa Lima, and R. S. de Barros, “An improved visualization-based approach for project portfolio selection,” Computers in Human Behavior, vol. 73, pp. 685–696, 2017. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S0747563216309128
C. G. da Silva and G. de Aragão Umbuzeiro, “Enhancing visual analysis of environmental monitoring data through an information visualization-based prototype,” in Anais do XXX Congresso da Sociedade Brasileira de Computação, Belo Horizonte, 2010, pp. 575–584. [Online]. Available: https://doi.org/10.4043/29788-MS
M. Flynn, C. G. Silva, P. Y. G. Sumida, A. Z. Guth, B. G. R. Alves, and G. Umbuzeiro, “Vissed software as a tool in monitoring programs for benthic data interpretation,” RevInter, vol. 8, pp. 22–35, 2015. [Online]. Available: [link].
Publicado
18/10/2021
Como Citar
SILVA, Celmar Guimarães da.
Visualization Research at the Software Engineering and Information Systems Laboratory (SEIS). In: WORKSHOP DE VISUAL ANALYTICS, VISUALIZAÇÃO DE INFORMAÇÕES E CIENTÍFICA - CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI), 34. , 2021, Online.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2021
.
p. 244-247.
DOI: https://doi.org/10.5753/sibgrapi.est.2021.20047.
