TítuloSimilarity of structured cases in CBR
Publication TypeConference Paper
Year of Publication2002
AuthorsArmengol E, Plaza E
EditorACIA ACatalana d
Conference NameButlletí 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)
EditorialACIA
Número28
Paginación153-160
Resumen

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.