RT journal article
T1 Impact of local congruences in variable selection from datasets
A1 García Aragón, Roberto
A1 Medina Moreno, Jesús
A1 Ramírez Poussa, Eloísa
A2 Matemáticas
K1 Formal concept analysis
K1 size concept lattice reduction
K1 congruence relation
AB Formal concept analysis (FCA) is a useful mathematical tool for obtaininginformation from relational datasets. One of the most interesting researchgoals in FCA is the selection of the most representative variables of thedataset, which is called attribute reduction. Recently, the attribute reductionmechanism has been complemented with the use of local congruencesin order to obtain robust clusters of concepts, which form convex sublatticesof the original concept lattice. Since the application of such local congruencesmodifies the quotient set associated with the attribute reduction, itis fundamental to know how the original context (attributes, objects andrelationship) has been modified in order to understand the impact of theapplication of the local congruence in the attribute reduction.
PB Elsevier
SN 0377-0427
YR 2022
FD 2022
LK http://hdl.handle.net/10498/30938
UL http://hdl.handle.net/10498/30938
LA eng
NO Partially supported by the the 2014-2020 ERDF Operational Programme in collaborationwith the State Research Agency (AEI) in project TIN2016-76653-P and PID2019-108991GB-I00, and with the Department of Economy, Knowledge, Business and Universityof the Regional Government of Andalusia in project FEDER-UCA18-108612, andby the European Cooperation in Science & Technology (COST) Action CA17124.
DS Repositorio Institucional de la Universidad de Cádiz
RD 09-may-2026