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 Sidney Junior(sidney@inf.ufg.br)
2 Rafael Quirino(rafael@inf.ufg.br)
3 Leonardo Ribeiro (laribeiro@inf.ufg.br)
4 Wellington Martins(welington@inf.ufg.br)

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

Reference
# Reference
1 [Bayardo et al. 2007] Bayardo, R. J., Ma, Y., and Srikant, R. (2007). Scaling up All Pairs Similarity Search. In WWW, pages 131–140.
2 [Broder et al. 1998] Broder, A. Z., Charikar, M., Frieze, A. M., and Mitzenmacher, M. (1998). Min-Wise Independent Permutations (Extended Abstract). In STOC, pages 327–336.
3 [Chaudhuri et al. 2006] Chaudhuri, S., Ganti, V., and Kaushik, R. (2006). A primitive operator for similarity joins in data cleaning. In ICDE, page 5
4 [Cruz et al. 2015] Cruz, M. S. H., Kozawa, Y., Amagasa, T., and Kitagawa, H. (2015). GPU Acceleration of Set Similarity Joins. In DEXA, pages 384–398.
5 [Hassanzadeh et al. 2009] Hassanzadeh, O., Chiang, F., Miller, R. J., and Lee, H. C. (2009). Framework for Evaluating Clustering Algorithms in Duplicate Detection. PVLDB, 2(1):1282–1293.
6 [Indyk and Motwani 1998] Indyk, P. and Motwani, R. (1998). Approximate Nearest Neighbors: Towards Removing the Curse of Dimensionality. In STOC, pages 604–613.
7 [Kirk and Wen-mei 2012] Kirk, D. B. and Wen-mei, W. H. (2012). Programming massively parallel processors: a hands-on approach. Newnes.
8 [Leskovec et al. 2014] Leskovec, J., Rajaraman, A., and Ullman, J. D. (2014). Mining of Massive Datasets, 2nd Ed. Cambridge University Press.
9 [Mann et al. 2016] Mann, W., Augsten, N., and Bouros, P. (2016). An Empirical Evaluation of Set Similarity Join Techniques. PVLDB, 9(9):636–647.
10 [Ribeiro and Härder 2011] Ribeiro, L. A. and Härder, T. (2011). Generalizing Prefix Filtering to Improve Set Similarity Joins. Information Systems, 36(1):62–78.
11 [Sarawagi and Kirpal ] Sarawagi, S. and Kirpal, A. Efficient Set Joins on Similarity Predicates. In SIGMOD.
12 [Sidney et al. 2015] Sidney, C. F., Mendes, D. S., Ribeiro, L. A., and Härder, T. (2015). Performance Prediction for Set Similarity Joins. In SAC, pages 967–972.
13 [Vernica et al. 2010] Vernica, R., Carey, M. J., and Li, C. (2010). Efficient Parallel Set-similarity Joins using MapReduce. In SIGMOD, pages 495–506.
14 [Wang et al. 2012] Wang, J., Li, G., and Feng, J. (2012). Can We Beat the Prefix Filtering?: An Adaptive Framework for Similarity Join and Search. In SIGMOD, pages 85–96.
15 [Xiao et al. 2011] Xiao, C., Wang, W., Lin, X., Yu, J. X., and Wang, G. (2011). Efficient Similarity Joins for Near-duplicate Detection. TODS, 36(3):15.