Update search
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
NARROW
Format
Journal
Type
Date
Availability
1-2 of 2
Keywords: Credit scoring
Close
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Sort by
Journal Articles
Customer credit scoring using a hybrid data mining approach
Available to Purchase
Journal:
Kybernetes
Kybernetes (2016) 45 (10): 1576–1588.
Published: 07 November 2016
.... Voting Classifier Credit scoring Ensemble learning Hybrid algorithms Farzaneh Ahmadzadeh can be contacted at: farzaneh.ahmadzadeh@mdh.se © Emerald Group Publishing Limited 2016 Emerald Group Publishing Limited Licensed re-use rights only In the financial literature, in any...
Journal Articles
Modeling credit scoring using neural network ensembles
Available to Purchase
Journal:
Kybernetes
Kybernetes (2014) 43 (7): 1114–1123.
Published: 29 July 2014
...Chih-Fong Tsai; Chihli Hung Purpose – Credit scoring is important for financial institutions in order to accurately predict the likelihood of business failure. Related studies have shown that machine learning techniques, such as neural networks, outperform many statistical approaches to solving...
