TitleSimilarity assessment for relational CBR
Publication TypeConference Paper
Year of Publication2001
AuthorsPlaza E, Armengol E
EditorAha DW, Watson I
Conference NameLecture notes in artificial intelligence
Volume2080
PublisherSpringer
Pagination44-58
Abstract

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.