@conference {IIIA-2007-1573, title = {Usages of Generalization in CBR}, booktitle = {Lecture Notes in Artificial Intelligence}, number = {4626}, year = {2007}, pages = {31-45}, publisher = {Springer-Verlag}, organization = {Springer-Verlag}, abstract = {The aim of this paper is to analyze how the generalizations built by a CBR method can be used as local approximations of a concept. From this point of view, these local approximations can take a role similar to the global approximations built by eager learning methods. Thus, we propose that local approximations can be interpreted either as: 1) a symbolic similitude among a set of cases, 2) a partial domain model, or 3) an explanation of the system classification. We illustrate these usages by solving the Predictive Toxicology task.}, author = {Eva Armengol}, editor = {R.O. Weber and M. M. Richter} }