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Sankore

Named after the University of Sankore in Timbuktu — one of the world’s oldest centres of learning. Every figure here is computed from work-level records in our own graph, never copied from a source’s summary count.

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Machine Learning Models for Predicting Bank Loan Eligibility

20222022 IEEE Nigeria 4th International Conference on Disruptive Technologies for Sustainable Development (NIGERCON)Publication

10.1109/nigercon54645.2022.9803172 Full text35 citations

Authors

4 authors.

Ugochukwu OrjiFirst author
- University of Nigeria (NG)
as printed: Ugochukwu. E. Orji
Chikodili Ugwuishiwu
- University of Nigeria (NG)
as printed: Chikodili. H. Ugwuishiwu
Joseph. C. N. Nguemaleu
- University of Nigeria (NG)
Peace. N. UgwuanyiSenior author
- University of Nigeria (NG)

Fields

Assignment is probabilistic — a work belongs to several fields in proportions.

FinTech, Crowdfunding, Digital Financelevel 3 · 0.98
Advanced Technology in Applicationslevel 3 · 0.95
Smart Systems and Machine Learninglevel 3 · 0.94

Sources

Several sources describing one work is the point — it means the record rests on more than one authority.

openalexseen September 9, 2026
2022 · 2022 IEEE Nigeria 4th International Conference on Disruptive Technologies for Sustainable Development (NIGERCON) · 35 citations
https://openalex.org/W4283654599

Machine Learning Models for Predicting Bank Loan Eligibility · Sankore