A loan default discrimination model using cost-sensitive support vector machine improved by PSO
Year of publication: |
2013
|
---|---|
Authors: | Cao, Jie ; Lu, Hongke ; Wang, Weiwei ; Wang, Jian |
Published in: |
Information technology and management. - New York, NY [u.a.] : Springer, ISSN 1385-951X, ZDB-ID 2212813-X. - Vol. 14.2013, 3, p. 193-204
|
Subject: | Particle swarm optimization | Cost sensitive learning | Support vector machine | Loan default prediction | Attribute reduction | Mustererkennung | Pattern recognition | Finanzdienstleistung | Financial services | Kreditwürdigkeit | Credit rating | Prognoseverfahren | Forecasting model | Insolvenz | Insolvency | Kreditrisiko | Credit risk |
-
Support vector machines for default prediction of SMEs based on technology credit
Kim, Hong Sik, (2010)
-
Credit risk prediction using support vector machines
Trustorff, Jan-Henning, (2011)
-
Credit default prediction modeling : an application of support vector machine
Moula, Fahmida E., (2017)
- More ...
-
A NOVEL FIVE-CATEGORY LOAN-RISK EVALUATION MODEL USING MULTICLASS LS-SVM BY PSO
CAO, JIE, (2012)
-
Product platform configuration decision in NPD with uncertain demands and module options
Wang, Ting, (2023)
-
Labor unemployment insurance and firms’ future performance
Wang, Weiwei, (2018)
- More ...