RT Conference Proceedings
T1 Formal concept analysis for knowledge refinement in case based reasoning
A1 Díaz Agudo, María Belén
A1 Gómez Martín, Marco Antonio
A1 Gómez Martín, Pedro Pablo
A1 González Calero, Pedro Antonio
A2 Bramer, Max
A2 Coenen, Frans
A2 Tuson, Andrew
AB Case-based Reasoning (CBR) is a problem solving paradigm that uses past experiences to solve new problems. Although CBR is supposed to alleviate the problem of knowledge acquisition, knowledge is still required to obtain the initial case base and to develop the processes of retrieving, reusing, revising and retaining cases. In this paper we propose the use of Formal Concept Analysis (FCA) to acquire and refine the knowledge available in a CBR system. In particular, we show how FCA can help to acquire indexing knowledge that supports the retrieval process, and also the use of FCA to improve the quality of the case base by identifying lack of coverage and biased combinations of case attributes.
SN 9781846282256
SN 9781846282263
YR 2005
FD 2005-12-14
LK https://hdl.handle.net/20.500.14352/133675
UL https://hdl.handle.net/20.500.14352/133675
LA eng
NO Díaz-Agudo, B., Gómez-Martín, M.A., Gómez-Martín, P.P., González-Calero, P.A. (2006). Formal Concept Analysis for Knowledge Refinement in Case Based Reasoning. In: Bramer, M., Coenen, F., Allen, T. (eds) Research and Development in Intelligent Systems XXII. SGAI 2005. Springer, London.
DS Docta Complutense
RD 3 mar 2026