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Main page / Publications / Rough set theory in the classification of loan applications
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Article

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Title

Rough set theory in the classification of loan applications

Authors

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

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication

2020

Published in

Procedia Computer Science

Journal year: 2020 | Journal volume: 176

Article type

scientific article / paper

Publication language

english

Keywords
EN
  • filtration methods
  • rough sets theory
  • LEM 2
  • binary classification
  • MD heuristics
PL
  • teoria zbiorów przybliżonych
  • LEM 2
  • metody filtracyjne
  • klasyfikacja binarna
  • heurystyki MD
DOI

10.1016/j.procs.2020.09.125

URL

https://www.sciencedirect.com/science/article/pii/S1877050920320251/pdf?md5=0396baa0a2a5435a8c489d2ea5c9cd43&pid=1-s2.0-S1877050920320251-main.pdf

Presented on

24th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, 16-19.09.2020, Virtual Conference, Italy

Ministry points / journal

5

Ministry points / journal in years 2017-2021

5

Ministry points / conference (CORE)

70

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
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Partner funds
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