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Molecular basis for anti-jumbo phage immunity by AVAST type 5.
Mol CellMuralidharan A +10 more
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Skyline Diagram: Efficient Space Partitioning for Skyline Queries [PDF]
IEEE Transactions on Knowledge and Data Engineering, 2021 Skyline queries are important in many application domains. In this paper, we propose a novel structure Skyline Diagram, which given a set of points, partitions the plane into a set of regions, referred to as skyline polyominos. All query points in the same skyline polyomino have the same skyline query results.
Li Xiong, Jian Pei, Jinfei Liu
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Information Sciences, 2012
When issuing user-specific queries, users often present vague and imprecise information needs. Skyline queries with an intuitive query formulation mechanism identify the most interesting objects for incomplete user preferences. However, the applicability of skyline queries suffers from a severe drawback because incomplete user preferences often lead to
Wolf-Tilo Balke +2 more
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When issuing user-specific queries, users often present vague and imprecise information needs. Skyline queries with an intuitive query formulation mechanism identify the most interesting objects for incomplete user preferences. However, the applicability of skyline queries suffers from a severe drawback because incomplete user preferences often lead to
Wolf-Tilo Balke +2 more
exaly +4 more sources
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
The range skyline query retrieves the dynamic skyline for every individual query point in a range by generalizing the point-based dynamic skyline query. Its wide-ranging applications enable users to submit their preferences within an interval of 'ideally sought' values across every dimension, instead of being limited to submit their preference in ...
Theodoros Tzouramanis +3 more
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The range skyline query retrieves the dynamic skyline for every individual query point in a range by generalizing the point-based dynamic skyline query. Its wide-ranging applications enable users to submit their preferences within an interval of 'ideally sought' values across every dimension, instead of being limited to submit their preference in ...
Theodoros Tzouramanis +3 more
openaire +2 more sources
Proceedings of the 18th ACM conference on Information and knowledge management, 2009
The ability to deal with uncertain information is becoming increasingly important for modern database applications. Whereas a conventional (certain) object is usually represented by a vector from a multidimensional feature space, an uncertain object is represented by a multivariate probability density function (PDF).
Christian Böhm 0001 +4 more
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The ability to deal with uncertain information is becoming increasingly important for modern database applications. Whereas a conventional (certain) object is usually represented by a vector from a multidimensional feature space, an uncertain object is represented by a multivariate probability density function (PDF).
Christian Böhm 0001 +4 more
openaire +1 more source
Skyline queries with constraints: Integrating skyline and traditional query operators
Data & Knowledge Engineering, 2010Multi-objective optimization has been extensively studied in the machine learning literature. And recently the database community adapted the concept as skyline queries focusing mainly on retrieving optimal values from the full-space. In this paper, we consider sub-space skyline queries in a more general database environment, such that the skyline ...
Ming Zhang, Reda Alhajj
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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.
openaire +3 more sources
On Possibilistic Skyline Queries
2011This paper deals with Skyline queries in the context of possilistic databases, where uncertain attribute values are represented by possibility distributions. In this framework, Skyline queries aim at computing the extent to which any tuple from a given relation is possibly/certainly not dominated by any other tuple from that relation.
Patrick Bosc +2 more
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Skyline queries, front and back
ACM SIGMOD Record, 2013Skyline queries are a popular way to obtain preferred answers from the database by providing only the orderings of attribute values. The result of a skyline query consists of those input tuples for which there is no input tuple having better or equal values in all the attributes and a better value in at least one attribute.
Jan Chomicki +2 more
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U-Skyline: A New Skyline Query for Uncertain Databases
IEEE Transactions on Knowledge and Data Engineering, 2013The skyline query, aiming at identifying a set of skyline tuples that are not dominated by any other tuple, is particularly useful for multicriteria data analysis and decision making. For uncertain databases, a probabilistic skyline query, called P-Skyline, has been developed to return skyline tuples by specifying a probability threshold.
De-Nian Yang, Wang-Chien Lee
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