Publications

Similarity of structured cases in CBR

Publication Type:

Conference Paper

Authors:

Eva Armengol; Enric Plaza

Source:

Butlletí de L'ACIA. CCIA'2002. 5è Congrès Català d'Intel.ligència Artificial, Castelló, 24-25 d'Octubre del 2002.gs of the 5th Catalan Conference on Artificial Intelligence (CCIA'2002), ACIA, Number 28, p.153-160 (2002)

Abstract:

Lazy learning methods are based on retrieving a set of cases similar to a new case. An important issue of these methods is how to estimate the similarity among a new case and the precedents. Most of work on similarities considers that the cases have a propositional representation. In this paper we present SHAUD, a similarity measure useful to estimate the similarity among relational cases represented using feature terms. Also we present some preliminary results of the application of SHAUD for solving classification tasks. In particular we used SHAUD for classifying marine sponges and for assessing the carcinogenic activity of the compounds in the Toxicology dataset.

Projects: 
IBROW
»