분류모형을 이용한 여신회사 고객대출 분석에 관한 연구

A study on the analysis of customer loan for the credit finance company using classification model

초록

The importance and necessity of the credit loan are increasing over time. Also, it is a natural consequence that the increase of the risk for borrower increases the risk of non-performing loan. Thus, we need to predict accurately in order to prevent the loss of a credit loan company. Our final goal is to build reliable and accurate prediction model, so we proceed the following steps: At first, we can get an appropriate sample by using several resampling methods. Second, we can consider variety models and tools to fit our resampling data. Finally, in order to find the best model for our real data,various models were compared and assessed.

키워드

Big data; data mining; decision tree; loan; oversampling; risk management; 데이터마이닝; 대출; 리스크 관리; 빅데이터; 오버샘플링; 의사결정나무
제목
분류모형을 이용한 여신회사 고객대출 분석에 관한 연구
제목 (타언어)
A study on the analysis of customer loan for the credit finance company using classification model
저자
김태형; 김영화
DOI
10.7465/jkdi.2013.24.3.411
발행일
2013-06
저널명
한국데이터정보과학회지
권
24
호
3
페이지
411 ~ 425