Banks currently have a great interest in internal audits to reduce risks, to prevent themselves from insolvency, and to take quick action for financial incidents. This study prese...
Redescription mining is a newly introduced data mining problem that seeks to find subsets of data that afford multiple definitions. It can be viewed as a generalization of associa...
This paper introduces a new variety of learning classifier system (LCS), called MILCS, which utilizes mutual information as fitness feedback. Unlike most LCSs, MILCS is specifical...
Abstract. Anomaly detection is based on profiles that represent normal behaviour of users, hosts or networks and detects attacks as significant deviations from these profiles. In t...
Abstract: We report on a model for the interaction of chimeric melanocortin Gprotein coupled receptors with peptide ligands using the rough set approach. Rough sets generate If-The...