|Títol||Similarity assessment for relational CBR|
|Publication Type||Conference Paper|
|Year of Publication||2001|
|Authors||Plaza E, Armengol E|
|Editor||Aha DW, Watson I|
|Conference Name||Lecture notes in artificial intelligence|
Reasoning and learning from cases are based on the concept of similarity often estimated by a distance. This paper presents LAUD, a distance measure that can be used to estimate similarity among relational cases. This measure is adequate for domains where cases are best represented by relations among entities. An experimental evaluation of the accuracy of LAUD is presented for the task of classifying marine sponges.
- Quant a IIIA