摘要：AbstractThe current paper has multiple specific objectives: characterizing the sovereign debt crisis and its mathematical approach in order to find relations between causal components; another specific objective of the paper is demonstrating and applying data mining techniques in quantitative analysis of the sovereign debt crisis. Thus, in the multidimensional analysis of the sovereign debt crisis we will use advanced techniques such as: clusterization or those ased on binary classification branches (C 4.5, CART, Logistic Model Trees, Random Forest, Alternating Decision Tree, Naïve Bayesian Classifier, Bayesian Logistic Regression). An empiric study will also be carried out, on the basis of which several less known aspects of the sovereign debt crisis will be revealed.
