A New Method for Estimating Bank Credit Risk

Stating from the complement between rough sets and decision tree classification algorithm, it proposes a new method of data mining based on rough sets and decision tree classification algorithm, and applies it in the estimating of bank credit risk with the help of a RSES (Rough Set Exploration System) software system for data mining. Experiments have proved that this new method of date mining retains the internal features of the original data, speeds up the process of access to knowledge, improves the classification accuracy rate, enhances the interpretability of the rules, and achieves satisfactory results.