is a special kind of classification problem of statistical data mining where the only single representation of every …

vibration signals of good and faulty conditions of the components of centrifugal pump. The classification accuracies were …

hybridisation of the random projection and random rotation methods for privacy-preserving classification. The hybrid method is …

hybridisation of the random projection and random rotation methods for privacy-preserving classification. The hybrid method is …

Data description and classification are important tasks in supervised learning. In this study, three supervised …

easily lend themselves to a systematic and objective classification of the narrating actors. Thus, the data for such research … is usually collected through structured interviews which provide a solid basis for quantitative classification techniques …

functions instead of terminal class values at its leaves. In this study, model trees were coupled with a rotation-based ensemble … for solving classification problems. In order to apply this regression technique to classification problems, we considered … the conditional class probability function and sought a model-tree approximation to it. During classification, the class …

mining (IEDM) methodology with classification mining and then association mining. The resulting 100 rules suggest that the …