Topics
combinatorial searchScientist
Abstract. In this paper, we discuss the integration of complex aggre-gates in the construction of logical decision trees. We review the use of complex aggregates in TILDE, which is based on an exhaustive search in the complex aggregate space. As opposed to such a combinatorial search, we introduce a hill-climbing approach to build complex aggregates incre-mentally.
Aggregating data is the main line of any discipline dealing with fusion of information from the know...
We examine the problem of eciently computing sum/count/avg aggregates over objects with nonzero ext...
A common optimization technique in data warehouse environments is the use of materialized aggregates...
In relational learning one learns patterns from relational databases, which usually contain multiple...
We study adding aggregate operators, such as sum-ming up elements of a column of a relation, to log-...
Aggregates are used to compute single pieces of information from separate data items, such as record...
Abstract. We extend the Constraint Handling Rules language with ag-gregates such as sum, count, find...
This paper introduces a formal method to aggregate over basic beliefs, in order to deduce aggregated...
© Springer International Publishing Switzerland 2015. Complex aggregates have been proposed as a way...
Abstract In relational learning, predictions for an individual are based not only on its own propert...
We extend different Description Logics by concrete domains (such as integers and reals) and by aggre...
Datacube queries compute simple aggregates at multiple granularities. In this paper we examine the ...
Common aggregation predicates have natural definitions in logic, either as rst order sentences (min,...
International audienceIn this paper, we propose a variant of Answer Set Programming (ASP) with evalu...
Abstract: There are many methods to design classifiers for the supervised classification problem. In...
Aggregating data is the main line of any discipline dealing with fusion of information from the know...
We examine the problem of eciently computing sum/count/avg aggregates over objects with nonzero ext...
A common optimization technique in data warehouse environments is the use of materialized aggregates...
In relational learning one learns patterns from relational databases, which usually contain multiple...
We study adding aggregate operators, such as sum-ming up elements of a column of a relation, to log-...
Aggregates are used to compute single pieces of information from separate data items, such as record...
Abstract. We extend the Constraint Handling Rules language with ag-gregates such as sum, count, find...
This paper introduces a formal method to aggregate over basic beliefs, in order to deduce aggregated...
© Springer International Publishing Switzerland 2015. Complex aggregates have been proposed as a way...
Abstract In relational learning, predictions for an individual are based not only on its own propert...
We extend different Description Logics by concrete domains (such as integers and reals) and by aggre...
Datacube queries compute simple aggregates at multiple granularities. In this paper we examine the ...
Common aggregation predicates have natural definitions in logic, either as rst order sentences (min,...
International audienceIn this paper, we propose a variant of Answer Set Programming (ASP) with evalu...
Abstract: There are many methods to design classifiers for the supervised classification problem. In...
Aggregating data is the main line of any discipline dealing with fusion of information from the know...
We examine the problem of eciently computing sum/count/avg aggregates over objects with nonzero ext...
A common optimization technique in data warehouse environments is the use of materialized aggregates...
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