Synonyms
Pareto optimal tuples
Definition
Given two d-dimensional points p and q where d is a positive integer, p is said to dominate or Pareto-dominate q, denoted by p < q, if p is better than or equal to q on all dimensions and p is better than q on at least one of the d dimensions. Given a set D of d-dimensional points and a point p in D, p is said to be a skyline point in D if p is not dominated by any other points in D. A skyline query is to find all skyline points in D.
Each dimension can be numeric or categorical. If a dimension is numeric, all values in this dimension are totally ordered. For any two values in the dimension, one value is more preferable than the other value. One example of a numeric dimension is the price of a product where a smaller value is more preferable. Another example of a numeric dimension is the hotel class where a higher value is more preferable. If a dimension is categorical, the ordering on the values in this dimension is more complicated. One...
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Recommended Reading
Kung H-T, Luccio F, Preparata FP. On finding the maxima of a set of vectors. J ACM. 1975;22(4):469–76.
Borzsony S, Kossmann D, Stocker K. The skyline operator. In: Proceedings of the 17th international conference on data engineering, 2001. Heidelberg: IEEE; 2001. p. 421–30.
Chomicki J, Godfrey P, Gryz J, Liang D. Skyline with pre-sorting. In: Proceedings of the 19th International Conference on Data Engineering; 2003. p. 717–9.
Papadias D, Tao Y, Fu G, Seeger B. An optimal and progressive algorithm for skyline queries. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 2003. p. 467–78.
Tan K, Eng P, Ooi B. Efficient progressive skyline computation. In: Proceedings of the 27th International Conference on Very Large Data Bases; 2001.
Kossmann D, Ramsak F, Rost S. Shooting stars in the sky: an online algorithm for skyline queries. In: Proceedings of the 28th International Conference on Very Large Data Bases; 2002.
Chan C-Y, Eng P-K, Tan K-L. Stratified computation of skylines with partially-ordered domains. In: Proceedings of the 21st International Conference on Data Engineering; 2005.
Wong RC-W, Pei J, Fu AW-C, Wang K. Mining favorable facets. In: Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; 2007.
Lin X, Yuan Y, Zhang Q, Zhang Y. Selecting stars: the k most representative skyline operator. In: Proceedings of the 23rd International Conference on Data Engineering; 2007. p. 86–95.
Tao Y, Ding L, Lin X, Pei J. Distance-based representative skyline. In: Proceedings of the 25th International Conference on Data Engineering; 2009. p. 892–903.
Wan Q, Wong RC-W, Ilyas IF, Ozsu MT, Peng Y. Creating competitive products. In: Proceedings of the 35th International Conference on Very Large Data Bases; 2009.
Wan Q, Wong RC-W, Peng Y. Finding top-k profitable products. In: Proceedings of the 27th International Conference on Data Engineering; 2011.
Balke W-T, Güntzer U, Zheng JX. Efficient distributed skylining for web information systems. In: Advances in Database Technology, Proceedings of the 9th International Conference on Extending Database Technology; 2004. p. 256–73.
Bartolini I, Ciaccia P, Patella M. The skyline of a probabilistic relation. Knowl Data Eng IEEE Trans. 2013;25(7):1656–69.
Chomicki J, Ciaccia P, Meneghetti N. Skyline queries, front and back. ACM SIGMOD Rec. 2013;42(3):6–18.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Section Editor information
Rights and permissions
Copyright information
© 2018 Springer Science+Business Media, LLC, part of Springer Nature
About this entry
Cite this entry
Peng, P., Wong, R.CW. (2018). Skyline Queries and Pareto Optimality. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_80684
Download citation
DOI: https://doi.org/10.1007/978-1-4614-8265-9_80684
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-8266-6
Online ISBN: 978-1-4614-8265-9
eBook Packages: Computer ScienceReference Module Computer Science and Engineering