Usages of Generalization in Case-Based Reasoning

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.

• Type: Conference
• Year: 2007
• Where: ICCBR
• Authors: Eva Armengol
• Keywords: Eager Learning Methods, Global Approximations, ICCBR 2007, Local Approximations