International audienceSkyline queries are multicriteria queries that are of great interest for decision applications. Skyline Groups extend the idea of skyline to groups of objects. In the recent years, several algorithms have been proposed to extract, in an efficient way, the complete set of skyline groups. Due to the novelty of the skyline group concept, these algorithms use custom enumeration strategies. The first contribution of this paper is the observation that a skyline group corresponds to the notion of ideal of a partially ordered set. From this observation, our second contribution consists in proposing a novel and efficient algorithm for the enumeration of all ideals of a given size k (i.e. all skyline groups of size k) of a poset...
Skyline query processing has recently received a lot of attention in database community. Given a set...
Skyline evaluation techniques (also known as Pareto preference queries) follow a common paradigm tha...
Skyline computation is important in applications that involve multi-criteria decision making. In thi...
International audienceSkyline queries are multicriteria queries that are of great interest for decis...
Recently, the skyline computation and analysis have been extended from one single full space to mult...
Given a multi-dimensional dataset of tuples, skyline computation returns a subset of tuples that are...
The skyline operator was first proposed in 2001 for retrieving interesting tuples from a dataset. Si...
The skyline operator was first proposed in 2001 for retrieving interesting tuples from a dataset. Si...
Skyline has been proposed as an important operator for many applications, such as multi-criteria dec...
The skyline of a set of d-dimensional points contains the points that are not dominated by any other...
Abstract—We formulate and investigate the novel problem of finding the skyline k-tuple groups from a...
Skyline queries are useful in many applications such as multi-criteria decision making, data mining,...
Given a multidimensional data set, a skyline query returns the interesting points that are not domin...
Skyline query is one of the important issues indatabase research and has been applied in diverse app...
The skyline operator has been proposed to bridge the gap between traditional and multimedia database...
Skyline query processing has recently received a lot of attention in database community. Given a set...
Skyline evaluation techniques (also known as Pareto preference queries) follow a common paradigm tha...
Skyline computation is important in applications that involve multi-criteria decision making. In thi...
International audienceSkyline queries are multicriteria queries that are of great interest for decis...
Recently, the skyline computation and analysis have been extended from one single full space to mult...
Given a multi-dimensional dataset of tuples, skyline computation returns a subset of tuples that are...
The skyline operator was first proposed in 2001 for retrieving interesting tuples from a dataset. Si...
The skyline operator was first proposed in 2001 for retrieving interesting tuples from a dataset. Si...
Skyline has been proposed as an important operator for many applications, such as multi-criteria dec...
The skyline of a set of d-dimensional points contains the points that are not dominated by any other...
Abstract—We formulate and investigate the novel problem of finding the skyline k-tuple groups from a...
Skyline queries are useful in many applications such as multi-criteria decision making, data mining,...
Given a multidimensional data set, a skyline query returns the interesting points that are not domin...
Skyline query is one of the important issues indatabase research and has been applied in diverse app...
The skyline operator has been proposed to bridge the gap between traditional and multimedia database...
Skyline query processing has recently received a lot of attention in database community. Given a set...
Skyline evaluation techniques (also known as Pareto preference queries) follow a common paradigm tha...
Skyline computation is important in applications that involve multi-criteria decision making. In thi...