Ubiquitous data mining (UDM) is a methodology for creating new knowledge by building an integrated financial database in a ubiquitous computing environment, extracting useful rules by using diverse rule-extraction-based data mining techniques, and combining these rules. In this study, we built six credit rating forecasting models using traditional statistical methods (i.e., logistic regression ...

Before granting new credits, banks must gather qualitative and quantitative information about their prospective customers in order to start a rating process which allows them to assess the credit requestor’s risk class. Driven by intense structural changes within the financial industry and as a result of the specifications of the Basle II accord with regard to the rating process, banks are curr...