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Characterizing functional dependencies in formal concept analysis with pattern structures

Autor
Baixeries, J.; Kaytoue, M.; Napoli, A.
Tipus d'activitat
Article en revista
Revista
Annals of mathematics and artificial intelligence
Data de publicació
2014-10-01
Volum
72
Número
1-2
Pàgina inicial
129
Pàgina final
149
DOI
https://doi.org/10.1007/s10472-014-9400-3 Obrir en finestra nova
Projecte finançador
SECUENCIAS SIMBOLICAS:ANALISIS,APRENDIZAJE,MINERIA Y EVOLUCION - BARCELONA
Repositori
http://hdl.handle.net/2117/21485 Obrir en finestra nova
URL
http://www.springer.com/alert/urltracking.do?id=L44b610aMe417fbSb0bb037 Obrir en finestra nova
Resum
Computing functional dependencies from a relation is an important database topic, with many applications in database management, reverse engineering and query optimization. Whereas it has been deeply investigated in those fields, strong links exist with the mathematical framework of Formal Concept Analysis. Considering the discovery of functional dependencies, it is indeed known that a relation can be expressed as the binary relation of a formal context, whose implications are equivalent to thos...
Citació
Baixeries, J.; Kaytoue, M.; Napoli, A. Characterizing functional dependencies in formal concept analysis with pattern structures. "Annals of mathematics and artificial intelligence", 29 Gener 2014.
Paraules clau
ARMSTRONG RELATIONS, Association rules, Attribute implications, CONCEPT LATTICES, DATABASES, Data dependencies, Formal concept analysis, GENERATING DEPENDENCIES, KNOWLEDGE DISCOVERY, OF-VIEW, Pattern structures, RULES, SYSTEMS
Grup de recerca
LARCA - Laboratori d'Algorísmia Relacional, Complexitat i Aprenentatge

Participants