AbstractThe relational model is formally extended to include fixed orderings on attribute domains. A new constraint, called order dependency, is then introduced to incorporate semantic information involving these orderings. It is shown that this constraint can be applied to enhance the efficiency of an implemented database. The thrust of the paper is to study logical implication for order dependency. The main theoretical results consist in (i) introducing a formalism analogous to propositional calculus for analyzing order dependency, (ii) exhibiting a sound and complete set of inference rules for order dependency, and (iii) demonstrating that determining logical implication for order dependency is co-NP-complete. It is also shown that there...
Abstract: An equivalence is shown between functional dependency statements of a relational database,...
A relevant task in the exploration and understanding of large datasets is the discovery of hidden re...
A relevant task in the exploration and understanding of large datasets is the discovery of hidden re...
AbstractThe relational model is formally extended to include fixed orderings on attribute domains. A...
We extend the relational data model to incorporate partial orderings into data domains, which we cal...
In this thesis, we extend the relational data model to incorporate partial orderings into data domai...
Functional Dependencies (FDs) play a key role in many fields of the relational database model, one o...
In this thesis, we extend the relational data model to incorporate partial orderings into data domai...
In this thesis, we extend the relational data model to incorporate partial orderings into data domai...
Functional Dependencies (FDs) play a key role in many fields of the relational database model, one o...
Functional Dependencies (FDs) play a key role in many fields of the relational database model, one o...
Functional Dependencies (FDs) play a key role in many fields of the relational database model, one o...
International audienceFunctional Dependencies (FDs) play a key role in many fields of the relational...
International audienceFunctional Dependencies (FDs) play a key role in many fields of the relational...
Functional Dependencies (FDs) play a key role in many fields of the relational database model, one o...
Abstract: An equivalence is shown between functional dependency statements of a relational database,...
A relevant task in the exploration and understanding of large datasets is the discovery of hidden re...
A relevant task in the exploration and understanding of large datasets is the discovery of hidden re...
AbstractThe relational model is formally extended to include fixed orderings on attribute domains. A...
We extend the relational data model to incorporate partial orderings into data domains, which we cal...
In this thesis, we extend the relational data model to incorporate partial orderings into data domai...
Functional Dependencies (FDs) play a key role in many fields of the relational database model, one o...
In this thesis, we extend the relational data model to incorporate partial orderings into data domai...
In this thesis, we extend the relational data model to incorporate partial orderings into data domai...
Functional Dependencies (FDs) play a key role in many fields of the relational database model, one o...
Functional Dependencies (FDs) play a key role in many fields of the relational database model, one o...
Functional Dependencies (FDs) play a key role in many fields of the relational database model, one o...
International audienceFunctional Dependencies (FDs) play a key role in many fields of the relational...
International audienceFunctional Dependencies (FDs) play a key role in many fields of the relational...
Functional Dependencies (FDs) play a key role in many fields of the relational database model, one o...
Abstract: An equivalence is shown between functional dependency statements of a relational database,...
A relevant task in the exploration and understanding of large datasets is the discovery of hidden re...
A relevant task in the exploration and understanding of large datasets is the discovery of hidden re...