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English Information

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Authors
# Name
1 Gustavo Penha(guzpenha@dcc.ufmg.br)
2 Thiago Cardoso(thiago.cardoso@hekima.com)
3 Ana Paula da Silva(ana.coutosilva@dcc.ufmg.br)
4 Mirella Moro(mirella@dcc.ufmg.br)

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Reference
# Reference
1 Bi et al., B. (2013). Inferring the demographics of search users: social data meets search queries. In WWW.
2 Flaxman et al., S. R. (2015). Who supported obama in 2012?: Ecological inference through distribution regression. In SIGKDD.
3 Goodman, L. A. Some alternatives to ecological correlation. American Journal of Sociology.
4 Imai, K., Lu, Y., and Strauss, A. (2008). Bayesian and likelihood inference for 2×2 ecological tables: an incomplete-data approach. Political Analysis.
5 Jain, R. (2008). The art of computer systems performance analysis. John Wiley & Sons.
6 King, G. (1997). A solution to the ecological inference problem. Princeton, NJ: Princeton University Press.
7 King, G., Tanner, M. A., and Rosen, O. (2004). Ecological inference: New methodological strategies. Cambridge University Press.
8 Tumitan, D. and Becker, K. (2013). Tracking sentiment evolution on user-generated content: A case study on the brazilian political scene. In SBBD.
9 Wakefield, J. (2004). Ecological inference for 2×2 tables (with discussion). Journal of the Royal Statistical Society: Series A (Statistics in Society).
10 Willmott, C. and Matsuura, K. Advantages of the mean absolute error (mae) over the root mean square error (rmse) in assessing average model performance. Climate research.
11 Zhong, Y., Yuan, N. J., Zhong, W., Zhang, F., and Xie, X. (2015). You are where you go: Inferring demographic attributes from location check-ins. In WSDM.