location： Current position: Home >> Scientific Research >> Paper Publications

Default forecasting based on a novel group feature selection method for imbalanced data

Hits:

Date of Publication:2024-03-29

Journal:JOURNAL OF CREDIT RISK

Volume:19

Issue:3

Page Number:51-77

ISSN No.:1744-6619

Key Words:CLASSIFICATION ALGORITHMS; COMBINATION; CREDIT RISK; FINANCIAL DISTRESS; FRAMEWORK; INSTANCE SELECTION; MACHINE; NEURAL-NETWORKS; PREDICTION; SVM

Pre One:基于情感数据的违约判别研究

Next One:EWT-SMOTE to improve default prediction performance in imbalanced data: Analysis of Chinese data
Recommended Ph.D.Supervisor Recommended MA Supervisor Institutional Repository Personal Page

Address: No.2 Linggong Road, Ganjingzi District, Dalian City, Liaoning Province, P.R.C., 116024

Click : times
  • MOBILE Version
    •
    Open time:..
    The Last Update Time:..

    Mobile phone sweep