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English Information

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Authors
# Name
1 Thiago da Nóbrega(thiagonobrega@uepb.edu.br)
2 Carlos Eduardo Pires(cesp@dsc.ufcg.edu.br)
3 Tiago Araújo(tiagobrasileiro@copin.ufcg.edu.br)

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Reference
# Reference
1 Agarwal, S. and Trachtenberg, A. (2006). Approximating the number of differences between remote sets. In IEEE Information Theory Workshop, pages 217–221. IEEE.
2 Christen, P. (2012). Data Matching. Springer Berlin Heidelberg, Berlin, Heidelberg.
3 Parmar, P., B. Padhar, S., N. Patel, S., I. Bhatt, N., and H. Jhaveri, R. (2014). Survey of Various Homomorphic Encryption algorithms and Schemes. International Journal of Computer Applications, 91(8):26–32.
4 Pita, R., Pinto, C., Melo, P., Silva, M., Barreto, M., and Rasella, D. (2015). A Spark-based workflow for probabilistic record linkage of healthcare data. CEUR Workshop Proceedings, 1330:17–26.
5 Randall, S. M., Ferrante, A. M., Boyd, J. H., Bauer, J. K., and Semmens, J. B. (2014). Privacy-preserving record linkage on large real world datasets. Journal of Biomedical Informatics, 50:205–212.
6 Schmidlin, K., Clough-Gorr, K. M., Spoerri, A., and group, f. S. N. C. s. (2015). Privacy Preserving Probabilistic Record Linkage (P3RL): a novel method for linking existing health-related data and maintaining participant confidentiality. BMC Medical Research Methodology, 15(1):46.
7 Schnell, R., Bachteler, T., and Reiher, J. (2009). Privacy-preserving record linkage using Bloom filters. BMC Med Inform.Decis.Mak., 9:41.
8 Tran, K.-n., Vatsalan, D., and Christen, P. (2013). GeCo. Proceedings of the 22nd ACM international conference on Conference on information & knowledge management - CIKM ’13, pages 2473–2476.
9 Vatsalan, D., Christen, P., and Verykios, V. S. (2013). A taxonomy of privacy-preserving record linkage techniques. Information Systems, 38(6):946–969.