TítolClassification of Melanomas in situ using Knowledge Discovery with Explained CBR
Publication TypeJournal Article
Year of Publication2011
AuthorsArmengol E
JournalArtificial Intelligence in Medicine
Volume51
Paginació12
Date Published01/2011
Paraules clauapplication, CBR, classification, Clustering, knowledge discovery
Resum

The goal of Knowledge Discovery is to extract knowledge from a set of data. Most common techniques used in knowledge discovery are based on clustering methods whose goal is to analyze a set of objects and to obtain clusters based on the similarity between these objects. A desirable characteristic of clustering results is that they should be easily understandable by domain experts. In this paper we introduce LazyCL, a procedure using a lazy learning method to produce explanations on clusters of unlabeled cases. These explanations are the basis on which experts can perform knowledge discovery. Here we use LazyCL to generate a domain theory for classification of melanomas in situ.