This paper shows how the use of Formal Concept Analysis (FCA) can support CBR application designers, in the task of discovering knowledge embedded in a case base. FCA application provides an internal sight of the case base conceptual structure and allows finding regularity patterns among the cases. Moreover, it extracts dependence rules between the attributes describing the cases, that will be used to guide the query formulation process. In this paper we focus in classification based retrieval and the utility of Galois lattices as structures to classify and retrieve cases.
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