[1] I. Bartolini, P. Ciaccia, and M. Patella, “Salsa: computing the skyline without scanning the whole sky,”
in Proceedings of the 15th ACM international conference on Information and knowledge management,
2006, pp. 405–414.
[2] S. Borzsony, D. Kossmann, and K. Stocker, “The skyline operator,” in Proceedings 17th International
Conference on Data Engineering, 2001, pp. 421–430.
[3] J. Chomicko, P. Godfrey, J. Gryz, and D. Liang, “Skyline with presorting,” in Proceedings 19th International
Conference on Data Engineering, 2003.
[4] P. Godfrey, R. Shipley, and J. Gryz, “Maximal vector computation in large data sets,” in Proceedings
of the 31st international conference on Very large databases, 2005, pp. 229–240.
[5] M. Goncalves and M.E.
Vidal, “Top-k skyline: A unified approach,” in On the Move to Meaningful
Internet Systems 2005: OTM 2005 Workshops, vol. 3762, 2005, pp. 790–799.
[6] A. Guttman, “R-trees:
a dynamic index structure for spatial searching,” in SIGMOD ’84: Proceedings
of the 1984 ACM SIGMOD international conference on Management of data, 1984, pp. 47–57.
[7] V. Hristidis, N. Koudas, and Y. Papakonstantinou, “Prefer: A system for the efficient execution of
multiparametric
ranked queries.” in Proceedings of the 2001 ACM SIGMOD International Conference
on Management of Data, vol. 30, 2001, pp. 259–270.
[8] I. Kamel and C. Faloutsos, “On packing r-trees,”
in CIKM ’93: Proceedings of the second international
conference on Information and knowledge management, 1993, pp. 490 – 499.
[9] J. Kim, S.G.
Kim, and B. Nam, “Parallel multi-dimensional
range query processing with r-trees
on GPU,” Journal of Parallel and Distributed Computing, vol. 73, pp. 1195–1207, 2013.
[10] D. Kossmann, F. Ramsak, and S. Rost, “Shooting stars in the sky: An online algorithm for skyline
queries,” in VLDB ’02: Proceedings of the 28th International Conference on Very Large Databases,
2002, pp. 275–286.
[11] J. Lee, G. won You, and S. won Hwang, “Personalized top-k
skyline queries in high dimensional
space,” Information System, vol. 34, pp. 45–61, 2009.
[12] K. C. K. Lee, B. Zheng, H. Li, and W.C.
Lee, “Approaching the skyline in Z order,” in the 33rd
International Conference on Very Large Data Bases (VLDB’07), 2007, pp. 279 – 290.
[13] S. T. Leutenegger, M. A. Lopez, and J. Edgington, “Str: a simple and efficient algorithm for r-tree
packing,” in Proceedings 13th International Conference on Data Engineering, 1997, pp. 497 – 506.
[14] X. Lin, Y. Yuan, Q. Zhang, and Y. Zhang, “Selecting stars: The k most representative skyline operator,”
in 2007 IEEE 23rd International Conference on Data Engineering, 2007, pp. 86 – 95.
[15] Y.Y.
Lin and W.M.
Chen, “A study of selection for representative skyline points on GPUs,” 2019.
[16] L. Luo, M. D. Wong, and L. Leong, “Parallel implementation of r-trees
on the GPU,” in 17th Asia and
South Pacific Design Automation Conference, 2012.
[17] D. Papadias, Y. Tao, G. Fu, and B. Seeger, “Progressive skyline computation in database systems,”
ACM Transactions on Database Systems., vol. 30, pp. 41–82, 2005.
[18] S. K. Prasad, M. McDermott, and X. He, “GPU-based
parallel r-tree
construction and querying,” in
2015 IEEE International Parallel and Distributed Processing Symposium Workshop, 2015.
[19] S. K. Prasad, M. McDermott, X. He, and S. Puri, “GPU-based
parallel r-tree
construction and querying,”
in 2015 IEEE International Parallel and Distributed Processing Symposium Workshop, 2015.
[20] N. Roussopoulos and D. Leifker, “Direct spatial search on pictorial databases using packed r-trees,”
ACM SIGMOD Record, pp. 17–31, 1985.
[21] A. Vlachou, C. Doulkeridis, and M. Halkidi, “Discovering representative skyline points over distributed
data,” in Scientific and Statistical Database Management, 2012.
[22] M. L. Yiu and N. Mamoulis, “Multidimensional
top-k
dominating queries,” The VLDB Journal VLDB,
vol. 18, pp. 695–718, 2009.
[23] S. You, J. Zhang, and L. Gruenwald, “Parallel spatial query processing on GPUs using r-trees,”
in
BigSpatial ’13: Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Analytics for
Big Geospatial Data, 2013, pp. 23–31.