An automated literature analysis on data mining applications to credit risk assessment

Abstract

[Extract] Introduction Financial crises are catalysts to an outstanding increase in research that will develop innovative techniques that anticipate fnancial crises thus providing a major advantage and the opportunity to take preventative action [1]. Terefore, research in fnancial credit risk has become one of the most prominent and prolifc subjects in recent years. In fact, the 2008 global fnancial crisis arose due to a poor assessment of the risk associated with the various ways through which banks have transferred credit risk in the fnancial system [2]. Tis then spread worldwide highlighting a global systemic risk...