Abstract. There has been interest recently in skyline queries, also called Pareto queries, on relational databases. Relational query languages do not support search for “best ” tuples, beyond the order by statement. The proposed skyline operator allows one to query for best tuples with respect to any number of attributes as preferences. In this work, we explore what the skyline means, and why skyline queries are useful, particularly for expressing preference. We describe the theoretical aspects and possible optimizations of an efficiant algorithm for computing skyline queries presented in [6].
Given a data set, a top-k Skyline query returns the k most interesting elements of the Skyline query...
Top-k and Skyline queries are a long study topic in database and information retrieval communities a...
In the present decade, there is the revival of interest to find the best way to query the ...
The skyline, or Pareto, operator selects those tuples that are not dominated by any others. Extendin...
Skyline queries are a popular way to obtain preferred answers from the database by providing only th...
We advocate the extension of relational database systems to support preference queries. Many databas...
Abstract Preference queries incorporate the notion of bi-nary preference relation into relational da...
Skyline evaluation techniques (also known as Pareto preference queries) follow a common paradigm tha...
The skyline operator of a $d$-dimensional dataset, which returns the points that are not dominated b...
Skylines assume that all attributes are equally important, as each dimension can always be traded of...
The skyline operator has been studied in database research for multi-criteria decision making. Until...
Skyline queries compute the set of Pareto-optimal tuples in a relation, i.e., those tuples that are ...
Skyline queries rely on the notion of Pareto dominance, �lter the data items by keeping only those d...
Skyline queries compute the set of Pareto-optimal tuples in a relation, that is, those tuples that a...
Skyline queries compute the set of Pareto-optimal tuples in a relation, i.e., those tuples that are ...
Given a data set, a top-k Skyline query returns the k most interesting elements of the Skyline query...
Top-k and Skyline queries are a long study topic in database and information retrieval communities a...
In the present decade, there is the revival of interest to find the best way to query the ...
The skyline, or Pareto, operator selects those tuples that are not dominated by any others. Extendin...
Skyline queries are a popular way to obtain preferred answers from the database by providing only th...
We advocate the extension of relational database systems to support preference queries. Many databas...
Abstract Preference queries incorporate the notion of bi-nary preference relation into relational da...
Skyline evaluation techniques (also known as Pareto preference queries) follow a common paradigm tha...
The skyline operator of a $d$-dimensional dataset, which returns the points that are not dominated b...
Skylines assume that all attributes are equally important, as each dimension can always be traded of...
The skyline operator has been studied in database research for multi-criteria decision making. Until...
Skyline queries compute the set of Pareto-optimal tuples in a relation, i.e., those tuples that are ...
Skyline queries rely on the notion of Pareto dominance, �lter the data items by keeping only those d...
Skyline queries compute the set of Pareto-optimal tuples in a relation, that is, those tuples that a...
Skyline queries compute the set of Pareto-optimal tuples in a relation, i.e., those tuples that are ...
Given a data set, a top-k Skyline query returns the k most interesting elements of the Skyline query...
Top-k and Skyline queries are a long study topic in database and information retrieval communities a...
In the present decade, there is the revival of interest to find the best way to query the ...