SBBD

Paper Registration

1

Select Book

2

Select Paper

3

Fill in paper information

4

Congratulations

Fill in your paper information

English Information

(*) To change the order drag the item to the new position.

Authors
# Name
1 Rodrigo de Souza(rodrigo.souza@eic.cefet-rj.br)
2 Rafael Ribeiro(rafael.ribeiro@cefet-rj.br)
3 Claudia Ferlin(ferlin@inf.puc-rio.br)
4 Ronaldo Goldschmidt(ronaldo.rgold@ime.eb.br)
5 Luis Carvalho(luisalfredo@medicina.ufrj.br)
6 Jorge Soares(jorge@eic.cefet-rj.br)

(*) To change the order drag the item to the new position.

Reference
# Reference
1 Castaneda, R., Ferlin, C., Goldschmidt, R., Soares, J., Carvalho, L., Choren, R. (2008). Aprimorando Processos de Imputação Multivariada de Dados com Workflows. XXIII Simpósio Brasileiro de Banco de Dados (SBBD), pages 238–252.
2 Dua, D., Karra Taniskidou, E. (2017). UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science.
3 Farhangfar, A., Kurgan, L., Pedrycz, W. (2007). A novel framework for imputation of missing values in databases. IEEE Transactions on Systems, Man, and Cybernetics.
4 Ford, B. L. (1983). An Overview of Hot-Deck Procedures. Incomplete Data in Sample Surveys, 1 ed., vol. 2, Academic Press.
5 Fuller, W. A., Kim, J. K. (2001). Hot Deck Imputation for the Response Model. Survey Methodology, v. 31, n. 2, pp. 139-149.
6 Han, J., Kamber, M., Pei, J. (2011). Data Mining: Concepts and Techniques, 3ed. Morgan Kaufmann, Waltham, Mass.
7 Jerez, J. M., Molina, I., García-Laencina, P. J., Alba, E., Ribelles, N., Martín, M., Franco, L. (2010). Missing data imputation using statistical and machine learning methods in a real breast cancer problem. Artificial Intelligence in Medicine.
8 Little, R. J. and Rubin, D. B. (2002). Statistical Analysis with Missing Data. John Wiley & Sons,New York, 2ed.
9 Luengo, J., García, S., Herrera, F., (2012), On the choice of the best imputation methods for missing values considering three groups of classification methods, Knowledge and Information Systems, v. 32, n. 1 (Jul.), p. 77–108.
10 Rubin, D. B. (1988). An overview of multiple imputation. In Proceedings of the Survey Research Section, American Statistical Association, pp. 79–84.
11 Silva, L. O., Zárate, L. E. (2014). A brief review of the main approaches for treatment of missing data. Intelligent Data Analysis, vol. 18, no. 6, pp. 1177-1198.
12 Soares, J. (2007). Pré-processamento em Mineração de Dados: um Estudo Comparativo em Complementação. Tese de Doutorado, COPPE/UFRJ.