Association rule-based feature selection for credit risk assessment

@article{Mei2016AssociationRF,
  title={Association rule-based feature selection for credit risk assessment},
  author={Xueyan Mei and Yilin Jiang},
  journal={2016 IEEE International Conference of Online Analysis and Computing Science (ICOACS)},
  year={2016},
  pages={301-305}
}
Credit risk assessment becomes rapidly important for credit department of the bank to determine whether to issue credit cards, and make loans to both companies and individualities. However, due to the complexity of database, it is arduous for credit managers to make decisions. In order to solve this problem, this paper proposes a framework that combines… CONTINUE READING