Abstract. We extend the Constraint Handling Rules language with ag-gregates such as sum, count, findall, and min. The proposed exten-sion features nested aggregate expressions over guarded conjunctions of constraints, a series of predefined aggregates, and application-tailored user-defined aggregates. We formally define the operational semantics of aggregates, and show how incremental aggregate computation facilitates efficient implementations. Case studies demonstrate that language sup-port for aggregates significantly reduces program size, thus improving readability and maintainability considerably.
Fine-grained parallel machines have the potential for very high speed computation. To program mass...
In this paper, we present a framework for the semantics and the computation of aggregates in the con...
International audienceIn this paper, we propose a variant of Answer Set Programming (ASP) with evalu...
We propose an extension of Constraint Handling Rules (CHR) with aggregates such as sum, count, finda...
. We introduce a new constraint domain, aggregation constraints, which is useful in database query l...
AbstractWe investigate the problem of how to extend constraint query languages with aggregate operat...
We introduce a new constraint domain, aggregation constraints, that is useful in database query lang...
We study adding aggregate operators, such as sum-ming up elements of a column of a relation, to log-...
We discuss the issue of adding aggregation to constraint databases. Previous work has shown that, in...
We investigate the semantics of aggregates (count, sum, : : :) in logic programs with function symbo...
AbstractWe introduce a new constraint domain, aggregation constraints, that is useful in database qu...
Abstract. We present a technique exploiting Datalog with aggregates to improve the performance of pr...
We show that aggregate constraints (as opposed to pairwise constraints) that often arise when integr...
In this paper, we present a framework for the semantics and the computation of aggregates in the con...
[[abstract]]Imprecise data in databases were originally denoted as null values, which represent the ...
Fine-grained parallel machines have the potential for very high speed computation. To program mass...
In this paper, we present a framework for the semantics and the computation of aggregates in the con...
International audienceIn this paper, we propose a variant of Answer Set Programming (ASP) with evalu...
We propose an extension of Constraint Handling Rules (CHR) with aggregates such as sum, count, finda...
. We introduce a new constraint domain, aggregation constraints, which is useful in database query l...
AbstractWe investigate the problem of how to extend constraint query languages with aggregate operat...
We introduce a new constraint domain, aggregation constraints, that is useful in database query lang...
We study adding aggregate operators, such as sum-ming up elements of a column of a relation, to log-...
We discuss the issue of adding aggregation to constraint databases. Previous work has shown that, in...
We investigate the semantics of aggregates (count, sum, : : :) in logic programs with function symbo...
AbstractWe introduce a new constraint domain, aggregation constraints, that is useful in database qu...
Abstract. We present a technique exploiting Datalog with aggregates to improve the performance of pr...
We show that aggregate constraints (as opposed to pairwise constraints) that often arise when integr...
In this paper, we present a framework for the semantics and the computation of aggregates in the con...
[[abstract]]Imprecise data in databases were originally denoted as null values, which represent the ...
Fine-grained parallel machines have the potential for very high speed computation. To program mass...
In this paper, we present a framework for the semantics and the computation of aggregates in the con...
International audienceIn this paper, we propose a variant of Answer Set Programming (ASP) with evalu...