Stabbing the sky: efficient skyline computation over sliding windows
By Xuemin Lin, Yidong Yuan, Hongjun Lu. IEEE International Conference on Data Engineering, 2005
296 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition, Signal Processing
View Paper: https://www.semanticscholar.org/paper/04297ac2e6bec39fb4b898a3293cc069024b9eb2
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In Computer Networks and Communications
In Computer Vision and Pattern Recognition
In Signal Processing
Citations in the corpus
- Probabilistic Skylines on Uncertain Data (2007, background): “Uncertain data are inherent in some important applications, such as environmental surveillance, market analysis, and quantitative economics research.”
- Efficient Computation of the Skyline Cube (2005, background): “Given the importance of skyline queries, many efficient skyline computation algorithms have been proposed recently [6, 21, 14, 8, 17, 16].”
- Selecting Stars: The k Most Representative Skyline Operator (2007, background): “These include computing skyline in a distributed environment [1, 18], continuously processing sky line queries in data streams [26, 34], skyline cube computation [30, 37] and its dynamic maintenance [36], computing skyline efficiently in a subspace [35], effectively materia lizing dominance relation”
- The spatial skyline queries (2006, background): “Several studies have also focused on the skyline query processing in a variety of problem settings such as data streams [7] and data residing on mobile devices [5].”