A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf
.
The Model and Empirical Research of Application Scoring based on Data Mining Methods
2013
Procedia Computer Science
Personal credit scoring has played an extremely important role in the credit risk management of commercial banks. Specially, application scoring provides an important basis for the approval of customers the first time. In this paper, firstly, the classification of the personal credit scoring is sorted out and the definition of application scoring is given; then T test method is used to do the indicators selection; further, the author establishes the static application scoring model based on the
doi:10.1016/j.procs.2013.05.116
fatcat:mjeuqotur5bprh2xq3ejbd6hyy