Skyline Queries

@inproceedings{Thakur2008SkylineQ,
  title={Skyline Queries},
  author={Nilu Thakur},
  booktitle={Encyclopedia of GIS},
  year={2008}
}
  • N. Thakur
  • Published in Encyclopedia of GIS 2008
  • Economics
For example, figure 1 shows a dataset containing information about hotels; the distance to the beach and the price for each data points are assigned to the X, Y axis of the plot. The interesting data-points in the dataset are {a, i, k}, because ‘a’ has the least distance from the beach, ‘k’ has the lowest price. And though, ‘i’ has neither the shortest distance nor the minimum price but it has lesser distance value than ‘k’ and a lower price value than ‘a’, hence ‘I; is not dominated by either… 
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References

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The skyline of a d-dimensional dataset contains the points that are not dominated by any other point on all dimensions. Skyline computation has recently received considerable attention in the
The Skyline operator
TLDR
This work shows how SSL can be extended to pose Skyline queries, present and evaluate alternative algorithms to implement the Skyline operation, and shows how this operation can be combined with other database operations, e.g., join.
In-Route Skyline Querying for Location-Based Services
TLDR
The paper defines in-route nearest-neighbor skyline queries in this setting and considers their efficient computation and covers a performance study of the proposed techniques based on real point-of-interest and road network data.
Stabbing the sky: efficient skyline computation over sliding windows
TLDR
An effective pruning technique is developed to minimize the number of elements to be kept and on average storing only O(log/sup d/ N) elements from the most recent N elements is sufficient to support the precise computation of all n-of-N skyline queries in a d-dimension space if the data distribution on each dimension is independent.
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TLDR
If <i>Q</i> fits in memory and <i*P</i] is indexed by an R-tree, these algorithms for aggregate nearest neighbors that capture several versions of the problem, including weighted queries and incremental reporting of results are developed.
Skyline with presorting
TLDR
A skyline algorithm, SFS, based on presorting that is general, for use with any skyline query, efficient, and well behaved in a relational setting is proposed.
Skyline Queries Against Mobile Lightweight Devices in MANETs
TLDR
This paper considers skyline querying in a mobile and distributed setting, where each mobile device is capable of holding only a portion of the whole dataset; where devices communicate through mobile ad hoc networks.
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The GSTD algorithm for generating spatiotemporal datasets according to several user-defined parameters is reviewed, and a WWW-based environment for generating and visualizing such datasets is introduced.
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