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English Information

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Authors
# Name
1 Gustavo Santos(gassantos@id.uff.br)
2 Marcos Bedo(marcosbedo@id.uff.br)
3 Yuri Frota(yuri@ic.uff.br)
4 Daniel Oliveira(danielcmo@ic.uff.br)

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Reference
# Reference
1 Bedo, M., Ciaccia, P., Martinenghi, D., and De Oliveira, D. (2019). A k–skyband approach for feature selection. In SISAP’19, pages 160–168. Springer.
2 Borzsony, S., Kossmann, D., and Stocker, K. (2001). The skyline operator. In Proceedings 17th international conference on data engineering, pages 421–430. IEEE
3 Boukadi, K., Grati, R., and Ben-Abdallah, H. (2016). Toward the automation of a qos-driven sla establishment in the cloud. Service Oriented Computing and Applications, 10(3):279–302.
4 Ciaccia, P. and Martinenghi, D. (2020). Flexible skylines: Dominance for arbitrary sets of monotone functions. ACM Transactions on Database Systems (TODS), 45(4):1–45.
5 Ciaccia, P. and Martinenghi, D. (2025). Optimization strategies for parallel computation of skylines. Distributed and Parallel Databases, 43(1):10.
6 Devlin, J., Chang, M.-W., Lee, K., and Toutanova, K. (2019). Bert: Pre-training of deep bidirectional transformers for language understanding. In Proc. of the 2019 NAACL-HLT, pages 4171–4186.
7 Gao, Y., Miao, X., Cui, H., Chen, G., and Li, Q. (2014). Processing k-skyband, constrained skyline, and group-by skyline queries on incomplete data. Expert Systems with Applications, 41(10):4959–4974.
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18 Pina, D., Chapman, A., Kunstmann, L., de Oliveira, D., and Mattoso, M. (2024). Dlprov: A data-centric support for deep learningworkflowanalyses. In Proc. of theDEEM@SIGMOD 2024, page 77–85, New York, NY, USA. ACM.
19 Siddique, M. A., Zaman, A., and Morimoto, Y. (2018). Selection of important sets by using k-skyband query for sets. International Journal of Advanced Computer Science and Applications, 9(4).
20 Venkataraman, S., Yang, Z., Franklin, M., Recht, B., and Stoica, I. (2016). Ernest: efficient performance prediction for large-scale advanced analytics. In Proceedings of the 13th Usenix Conference on Networked Systems Design and Implementation, NSDI’16, page 363–378, USA. USENIX Association.
21 Yao, S., Chen, H., Hanjie, A. W., Yang, R., and Narasimhan, K. (2023). Collie: Systematic construction of constrained text generation tasks.
22 Zhao, W. X. et al. (2023). A survey of large language models. arXiv:2303.18223, 1(2).