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English Information

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Authors
# Name
1 Eduardo Pena(eduardopena@utfpr.edu.br)
2 Eduardo Almeida(eduardo@inf.ufpr.br)

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Reference
# Reference
1 Abedjan, Z., Golab, L., and Naumann, F. (2015). Profiling relational data: A survey. The VLDB Journal, 24(4):557–581.
2 Beeri, C., Dowd, M., Fagin, R., and Statman, R. (1984). On the structure of armstrong relations for functional dependencies. J. ACM, 31(1):30–46.
3 Bohannon, P., Fan, W., Flaster, M., and Rastogi, R. (2005). A cost-based model and effective heuristic for repairing constraints by value modification. In SIGMOD, 2005, pages 143–154.
4 Chaudhuri, S., Ganesan, P., and Narasayya, V. (2003). Primitives for workload summarization and implications for sql. In VLDB.
5 Chung, Y., Krishnan, S., and Kraska, T. (2017). A data quality metric (DQM): how to estimate the number of undetected errors in data sets. PVLDB, 10(10):1094–1105.
6 Frey, B. J. and Dueck, D. (2007). Clustering by passing messages between data points. Science, 315:972–976.
7 Kimura, H., Huo, G., Rasin, A., Madden, S., and Zdonik, S. B. (2009). Correlation maps: A compressed access method for exploiting soft functional dependencies. PVLDB, 2(1):1222–1233.
8 Liu, J., Li, J., Liu, C., and Chen, Y. (2012). Discover dependencies from data - a review. IEEE Trans. on Knowl. and Data Eng., 24(2):251–264.
9 Mazuran, M., Quintarelli, E., Tanca, L., and Ugolini, S. (2016). Semi-automatic support for evolving functional dependencies. In EDBT, 2016.
10 Papenbrock, T., Ehrlich, J., Marten, J., Neubert, T., Rudolph, J.-P., Sch ̈onberg, M., Zwiener, J., and Naumann, F. (2015). Functional dependency discovery: An experimental evaluation of seven algorithms. PVLDB, 8(10):1082–1093.
11 Papenbrock, T. and Naumann, F. (2016). A hybrid approach to functional dependency discovery. In SIGMOD, 2016, pages 821–833.
12 Szlichta, J., Godfrey, P., Gryz, J., and Zuzarte, C. (2013). Expressiveness and complexity of order dependencies. PVLDB, 6:1858–1869.