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ACM Transactions on Database Systems, 2012
In many applications involving multiple criteria optimal decision making, users may often want to make a personal trade-off among all optimal solutions for selecting one object that fits best their personal needs. As a key feature, the skyline in a multidimensional space provides the minimum set of candidates for such purposes by removing ...
Wenjie Zhang +4 more
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In many applications involving multiple criteria optimal decision making, users may often want to make a personal trade-off among all optimal solutions for selecting one object that fits best their personal needs. As a key feature, the skyline in a multidimensional space provides the minimum set of candidates for such purposes by removing ...
Wenjie Zhang +4 more
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Semi-skylines and skyline snippets
2010Skyline evaluation techniques (also known as Pareto preference queries) follow a common paradigm that eliminates data elements by finding other elements in the data set that dominate them. To date already a variety of sophisticated skyline evaluation techniques are known, hence skylines are considered a well researched area. Nevertheless, in this paper
Endres, Markus +1 more
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Skyline and reverse skyline query processing in SpatialHadoop
Data & Knowledge Engineering, 2019Abstract In this paper, we study the problem of skyline and reverse skyline computation using SpatialHadoop, an extension of Hadoop that enhances its capabilities with spatial awareness. The exploitation of spatial indexing structures and the spatial properties of data can exploit MapReduce-based methods by reducing the reading, writing ...
Christos Kalyvas, Manolis Maragoudakis
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Neural skyline filter for accelerating skyline search algorithms
Expert Systems, 2014AbstractThe skyline search problem has been identified as one of the key problems in database research. None of the developed skyline search algorithms include the use of a filter to facilitate the search process. This paper proposes a novel modification involving the use of skyline filters to reduce the search space of a skyline problem by removing ...
Yi‐Chung Chen, Chiang Lee
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Efficient Continuous Skyline Computation
22nd International Conference on Data Engineering (ICDE'06), 2006In a number of emerging streaming applications, the data values that are produced have an associated time interval for which they are valid. A useful computation over such streaming data sets is to produce a continuous and valid skyline summary. To the best of our knowledge, this problem has not been addressed before.
M. Morse, J.M. Patel, W.I. Grosky
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Datenbank-Spektrum, 2016
Many applications face the problem that users are overwhelmed by the large amount of available data. In some cases an objective ranking function can be used to order data items by their relevance – similar to the top 10 results displayed by a Web search engine.
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Many applications face the problem that users are overwhelmed by the large amount of available data. In some cases an objective ranking function can be used to order data items by their relevance – similar to the top 10 results displayed by a Web search engine.
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Lighting Design + Application, 2008
Illumination of the planning as it was in Georgia State Capitol dome was as much an exercise in urban lighting design
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Illumination of the planning as it was in Georgia State Capitol dome was as much an exercise in urban lighting design
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Exception-Tolerant Skyline Queries
2014This 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.
Jaudoin, Hélène +2 more
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Beyond Skylines: Explicit Preferences
2017Skyline queries are well-known in the database community and there are many algorithms for the computation of the Pareto frontier. But users do not only think of finding the Pareto optimal objects, they often want to find the best objects concerning an explicit specified preference order. While preferences themselves often are defined as general strict
Endres, Markus, Preisinger, Timotheus
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