(Approximate) Uncertain Skylines
نویسندگان
چکیده
منابع مشابه
Probabilistic Skylines on Uncertain Data
Uncertain data are inherent in some important applications. Although a considerable amount of research has been dedicated to modeling uncertain data and answering some types of queries on uncertain data, how to conduct advanced analysis on uncertain data remains an open problem at large. In this paper, we tackle the problem of skyline analysis on uncertain data. We propose a novel probabilistic...
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Skyline queries retrieve promising data objects that are not dominated in all the attributes of interest. However, in many cases, a user may not be interested in a skyline set computed over the entire dataset, but rather over a specified range of values for each attribute. For example, a user may look for hotels only within a specified budget and/or in a particular area in the city. This leads ...
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In many decision-making applications, the skyline query is frequently used to find a set of dominating data points (called skyline points) in a multidimensional dataset. In a high-dimensional space skyline points no longer offer any interesting insights as there are too many of them. In this paper, we introduce a novel metric, called skyline frequency that compares and ranks the interestingness...
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Skyline 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 we come up with interesting new aspects. O...
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ژورنال
عنوان ژورنال: Theory of Computing Systems
سال: 2012
ISSN: 1432-4350,1433-0490
DOI: 10.1007/s00224-012-9382-7