• Türkçe
    • English
  • English 
    • Türkçe
    • English
  • Login
View Item 
  •   DSpace Home
  • ARAŞTIRMA ÇIKTILARI (WoS-Scopus-TR-Dizin-PubMed)
  • Scopus İndeksli Yayınlar Koleksiyonu
  • View Item
  •   DSpace Home
  • ARAŞTIRMA ÇIKTILARI (WoS-Scopus-TR-Dizin-PubMed)
  • Scopus İndeksli Yayınlar Koleksiyonu
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

A comparison of data mining techniques for credit scoring in banking: A managerial perspective

Thumbnail
Date
2009
Author
Ince, H.
Aktan, B.
Metadata
Show full item record
Abstract
Credit scoring is a very important task for lenders to evaluate the loan applications they receive from consumers as well as for insurance companies, which use scoring systems today to evaluate new policyholders and the risks these prospective customers m
URI
https://www.scopus.com/inward/record.uri?eid=2-s2.0-75449093022&doi=10.3846%2f1611-1699.2009.10.233-240&partnerID=40&md5=9374e49427cc3c348b6b99be1d4e7066
https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/10704
Collections
  • Scopus İndeksli Yayınlar Koleksiyonu





Creative Commons License
[email protected] by Yasar University Institutional Repository is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 Unported License..

DSpace software copyright © 2002-2016  DuraSpace
Contact Us | Send Feedback
Theme by 
Atmire NV
 

 




| Politika | Rehber | İletişim |

sherpa/romeo

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsBy TypeBy PublisherBy LanguageThis CollectionBy Issue DateAuthorsTitlesSubjectsBy TypeBy PublisherBy Language

My Account

LoginRegister

DSpace software copyright © 2002-2016  DuraSpace
Contact Us | Send Feedback
Theme by 
Atmire NV