Depending on the amount of data to process, file generation may take longer.

If it takes too long to generate, you can limit the data by, for example, reducing the range of years.

Menu

Main page / Publications / Credit decision support based on real set of cash loans using integrated machine learning algorithms
Submit a comment

Article

Download BibTeX

Title

Credit decision support based on real set of cash loans using integrated machine learning algorithms

Authors

[ 1 ] Wydział Techniczny, Akademia im. Jakuba z Paradyża | [ P ] employee

Scientific discipline (Law 2.0)

[2.3] Information and communication technology
[2.9] Mechanical engineering

Year of publication

2021

Published in

Electronics

Journal year: 2021 | Journal volume: 10 | Journal number: 17

Article type

scientific article

Publication language

english

Keywords
PL
  • uczenie maszynowe
  • ocena kredytowa
  • model decyzyjny
  • dyskretyzacja
  • klasyfikacja
  • pożyczki gotówkowe
  • resampling
  • selekcja cech
EN
  • cash loans
  • credit scoring
  • decision model
  • classification
  • machine learning
  • feature selection
  • resampling
  • discretization
Date of online publication

2021

DOI

10.3390/electronics10172099

URL

https://www.mdpi.com/2079-9292/10/17/2099/pdf

License type

CC BY (attribution alone)

Open Access Text Version

final published version

Release date

30.08.2021

Date of Open Access to the publication

at the time of publication

Ministry points / journal

100.0

Ministry points / journal in years 2017-2021

100.0

Impact Factor

2.690

Financing
Project
Project "Open Resources in the Digital Repository of Scientific Institutes" [OZwRCIN] co-financed by the European Regional Development Fund under the Operational Program Digital Poland, 2014-2020, task 2.3: Digital accessibility and usefulness of the public sector and Partner funds
appConf.financingLogoBottom1 appConf.financingLogoBottom2 appConf.financingLogoBottom3
Partner funds
Works related to making new objects available on the RCIN website are also co-financed by the Partners.
This website works thanks to the software SINUS created by Poznan Supercomputing and Networking Center