Estudo do cálculo paralelo das métricas trustworthiness e continuity para uso em tempo real
Abstract
As a result of the abundant generation of data on the internet, the need to extract information has also grown and tools to aid this analysis are essential. Multidimensional Projection techniques are resources that help in data analysis. They allow the user to make a visual analysis of the data. There are several metrics to assess the quality of a generated projection. One of the problems in using these metrics is their high computational cost. In this work, the projection technique LAMP and the metrics Trustworthiness and Continuity were chosen. Promising results were obtained in both parallelized algorithms in a comparison with non-parallel algorithms.References
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Caruana, R., Joachims, T., and Backstrom, L. (2004). KDD-Cup 2004: results and analysis. ACM SIGKDD Explorations Newsletter, 6(2):95–108.
Dua, D. and Graff, C. (2017). UCI machine learning repository.
Joia, P., Coimbra, D., Cuminato, J. A., Paulovich, F. V., and Nonato, L. G. (2011). Local affine multidimensional projection. IEEE Transactions on Visualization and Computer Graphics, 17:2563–2571.
Mateus Espadoto, Rafael M. Martins, A. K. N. S. T. H. and Telea, A. C. (2019). Toward a quantitative survey of dimension reduction techniques. IEEE transactions on visualization and computer graphics, 27(3):2153–2173.
Nonato, L. G. and Aupetit, M. (2018). Multidimensional projection for visual analytics: Linking techniques with distortions, tasks, and layout enrichment. IEEE Transactions on Visualization and Computer Graphics, 25(8):2650–2673.
Paulovich, F. V., Eler, D. M., Poco, J., Botha, C. P., Minghim, R., and Nonato, L. G. (2011). Piece wise laplacian-based projection for interactive data exploration and organization. Computer Graphics Forum, 30(3):1091–1100.
Whalen, D. and Norman, M. L. (2008). Competition data set and description. 2008 IEEE Visualization Design Contest.
Published
2021-10-25
How to Cite
SILVA, Anderson da Conceição da; NEVES, Tácito Trindade de Araújo Tiburtino.
Estudo do cálculo paralelo das métricas trustworthiness e continuity para uso em tempo real. In: REGIONAL SCHOOL ON COMPUTING OF BAHIA, ALAGOAS, AND SERGIPE (ERBASE), 21. , 2021, Maceió.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2021
.
p. 81-86.
DOI: https://doi.org/10.5753/erbase.2021.20060.
