Results 181 to 190 of about 229 (216)
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Algorithms for range-skyline queries

Proceedings of the 20th International Conference on Advances in Geographic Information Systems, 2012
Let S be a set of n points in Rd where each point has t ≥ 1 real-valued attributes called features. A range-skyline query on S takes as input a query box q e Rd and returns the skyline of the points of q ∩ S, computed w.r.t. their features (not their coordinates in Rd).
Saladi Rahul, Ravi Janardan
openaire   +1 more source

Skyline Diagram: Finding the Voronoi Counterpart for Skyline Queries

2018 IEEE 34th International Conference on Data Engineering (ICDE), 2018
Skyline queries are important in many application domains. In this paper, we propose a novel structure Skyline Diagram, which given a set of points, partitions the plane into a set of regions, referred to as skyline polyominos. All query points in the same skyline polyomino have the same skyline query results.
Jinfei Liu   +4 more
openaire   +1 more source

Exception-Tolerant Skyline Queries

2014
This paper presents an approach aimed at reducing the impact of exceptional points/outliers when computing skyline queries. The phenomenon that one wants to avoid is that noisy or suspect elements “hide” some more interesting answers just because they dominate them in the sense of Pareto.
Hélène Jaudoin   +2 more
openaire   +1 more source

Fuzzy Dominance Skyline Queries

2007
Skyline is an important and recent proposal for expressing user preferences. While no one best row exists, Skyline discards rows which are worse on all criteria than some other and retrieves non-dominated or the best ones that match user preferences. Nevertheless, some dominated rows could be interesting to user requirement, but they will be rejected ...
Marlene Goncalves, Leonid Tineo
openaire   +1 more source

U-Skyline: A New Skyline Query for Uncertain Databases

IEEE Transactions on Knowledge and Data Engineering, 2013
The skyline query, aiming at identifying a set of skyline tuples that are not dominated by any other tuple, is particularly useful for multicriteria data analysis and decision making. For uncertain databases, a probabilistic skyline query, called P-Skyline, has been developed to return skyline tuples by specifying a probability threshold.
Xingjie Liu   +3 more
openaire   +1 more source

On Decisive Skyline Queries

2022
Akrivi Vlachou   +3 more
openaire   +1 more source

Subspace Skyline Queries

2012
Skyline queries help users make intelligent decisions over complex data, when different and often conflicting criteria are considered. Such queries return a set of data points that are not dominated by any other point on all dimensions. Skyline queries have been studied in centralized systems and more recently in distributed environments, such as web ...
Akrivi Vlachou   +3 more
openaire   +1 more source

Skyline Queries

2021
Apostolos N. Papadopoulos   +4 more
openaire   +1 more source

Combination Skyline Queries

2012
Xi Guo 0001   +2 more
openaire   +1 more source

Continuous monitoring of moving skyline and top-k queries

VLDB Journal, 2021
Wenjie Zhang, , Arif Hidayat
exaly  

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