Concept Lattices have been proved to be a valuable tool to represent the knowlegde in a database. In this paper we show how functional dependencies in databases can be extracted using Concept Lattices, not preprocessing the original database, but providing a new closure operator. We also prove that this method generalizes the previous methods and closure operators that are being used to find association rules in binary databases.Postprint (published version
AbstractComputation of the dependency basis is the fundamental step in solving the membership proble...
Acyclic Join Dependencies (AJD) play a crucial role in database design and normalization. In this pa...
International audienceKnowledge discovery in large and complex datasets is one of the main topics ad...
Concept Lattices have been proved to be a valuable tool to represent the knowlegde in a database. In...
AbstractA lattice theoretic approach is developed to study the properties of functional dependencies...
International audienceComputing functional dependencies from a relation is an impor-tant database to...
Functional dependencies (FDs) provide valuable knowledge on the relations between attributes of a da...
Nowadays, knowledge discovery from data is one of the challenging problems, due to its importance in...
International audienceIn this paper, we deal with the functional and approximate dependency inferenc...
AbstractThis paper describes a concept formation approach to the discovery of new concepts and impli...
International audienceKnowledge discovery in large and complex datasets is one main topic addressed ...
International audienceFunctional dependencies (FDs) provide valuable knowledge on the relations betw...
International audienceDiscovering dependencies in data is a well-know problem in database theory. Th...
Computation of the dependency basis is the fundamental step in solving the membership problem for fu...
International audienceIn this review paper, we present some recent results on the characterization o...
AbstractComputation of the dependency basis is the fundamental step in solving the membership proble...
Acyclic Join Dependencies (AJD) play a crucial role in database design and normalization. In this pa...
International audienceKnowledge discovery in large and complex datasets is one of the main topics ad...
Concept Lattices have been proved to be a valuable tool to represent the knowlegde in a database. In...
AbstractA lattice theoretic approach is developed to study the properties of functional dependencies...
International audienceComputing functional dependencies from a relation is an impor-tant database to...
Functional dependencies (FDs) provide valuable knowledge on the relations between attributes of a da...
Nowadays, knowledge discovery from data is one of the challenging problems, due to its importance in...
International audienceIn this paper, we deal with the functional and approximate dependency inferenc...
AbstractThis paper describes a concept formation approach to the discovery of new concepts and impli...
International audienceKnowledge discovery in large and complex datasets is one main topic addressed ...
International audienceFunctional dependencies (FDs) provide valuable knowledge on the relations betw...
International audienceDiscovering dependencies in data is a well-know problem in database theory. Th...
Computation of the dependency basis is the fundamental step in solving the membership problem for fu...
International audienceIn this review paper, we present some recent results on the characterization o...
AbstractComputation of the dependency basis is the fundamental step in solving the membership proble...
Acyclic Join Dependencies (AJD) play a crucial role in database design and normalization. In this pa...
International audienceKnowledge discovery in large and complex datasets is one of the main topics ad...