| Title | Usages of Generalization in CBR |
| Publication Type | Conference Paper |
| Year of Publication | 2007 |
| Authors | Armengol E |
| Editor | Weber R.O., Richter M.M |
| Conference Name | Lecture Notes in Artificial Intelligence |
| Publisher | Springer-Verlag |
| Number | 4626 |
| Pagination | 31-45 |
| 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. |
