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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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Performance Evaluation of Feature Selection Techniques for Credit Default Prediction

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

10.1109/nigercon54645.2022.9803064 Full text1 citations

Authors

5 authors across 4 institutions in 1 country.

Ikechukwu Ignatius AyoguFirst author
- Federal University of Technology Owerri (NG)
Olugbemiga Solomon Popoola
as printed: Olugbemiga Solomon PopoOla
Olamatanmi Josephine Mebawondu
- Federal Polytechnic, Nasarawa (NG)
- The Federal Polytechnic, Ado-Ekiti (NG)
as printed: Olamatanmi Josephine MebawOndu
Chukwuemeka Christian Ugwu
- Federal University of Technology (NG)
Adebayo Olusola AdetunmbiSenior author
- Federal University of Technology (NG)
as printed: AdebayO OlusOla Adetunmbi

Fields

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

Financial Distress and Bankruptcy Predictionlevel 3 · 1.00
Imbalanced Data Classification Techniqueslevel 3 · 0.99
FinTech, Crowdfunding, Digital Financelevel 3 · 0.97

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) · 1 citations
https://openalex.org/W4283651090

Performance Evaluation of Feature Selection Techniques for Credit Default Prediction · Sankore