Proceedings of the 16th International Conference on Extending Database Technology 2013
DOI: 10.1145/2452376.2452423
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Skyline probability over uncertain preferences

Abstract: Skyline analysis is a key in a wide spectrum of real applications involving multi-criteria optimal decision making. In recent years, a considerable amount of research has been contributed on efficient computation of skyline probabilities over uncertain environment. Most studies if not all, assume uncertainty lies only in attribute values. To the extent of our knowledge, only one study addresses the skyline probability computation problem in scenarios where uncertainty resides in attribute preferences, instead … Show more

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Cited by 17 publications
(44 citation statements)
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“…Most works assume that uncertainty exists only in attribute values [20]. Zhang et al [20] address the skyline probability computation problem in scenarios where uncertainty resides in attribute preferences instead of values.…”
Section: Related Workmentioning
confidence: 99%
See 2 more Smart Citations
“…Most works assume that uncertainty exists only in attribute values [20]. Zhang et al [20] address the skyline probability computation problem in scenarios where uncertainty resides in attribute preferences instead of values.…”
Section: Related Workmentioning
confidence: 99%
“…Zhang et al [20] address the skyline probability computation problem in scenarios where uncertainty resides in attribute preferences instead of values. The approach used in [20] assumes independent object dominance.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…Two works that deal with skyline computation on uncertain preferences are [16,17]. The independent object dominance assumption adopted in [16] to compute skyline probability on uncertain preferences was shown not valid in [17].…”
Section: Introductionmentioning
confidence: 99%
“…The independent object dominance assumption adopted in [16] to compute skyline probability on uncertain preferences was shown not valid in [17]. This leaves [17] as the only other work that deals with skyline probability computation over uncertain preferences.…”
Section: Introductionmentioning
confidence: 99%