Data sets with a large number of nominal variables, some with high cardinality, are becoming increasingly common and need to be explored. Unfortunately, most existing visual explo...
Geraldine E. Rosario, Elke A. Rundensteiner, David...
Tourist photographs constitute a large part of the images uploaded to photo sharing platforms. But filtering methods are needed before one can extract useful knowledge from noisy ...
Adrian Popescu, Gregory Grefenstette, Pierre-Alain...
The area of imbalanced datasets is still relatively new, and it is known that the use of overall accuracy is not an appropriate evaluation measure for imbalanced datasets, because...
Background: Nonnegative Matrix Factorization (NMF) is an unsupervised learning technique that has been applied successfully in several fields, including signal processing, face re...
In this paper we present the Relational Bayesian Classifier (RBC), a modification of the Simple Bayesian Classifier (SBC) for relational data. There exist several Bayesian classif...