Efficient Computation of the Skyline Cube

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Finding k-dominant skylines in high dimensional space (2006, methodology): “Computing skylines in high dimensional data sets is challenging because of the large number of skyline points [9, 14, 17 ].”
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.”
Selecting Stars: The k Most Representative Skyline Operator (2007, unknown): “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”
Efficient Computation of Reverse Skyline Queries (2007, background): “Skyline query processing has received considerable attention in multidimensional databases and has been studied extensively in recent years [17], [24] [22], [7].”