Countries
Institutions
Fields
Rankings
Compare

Search institutions, scholars, countries and publications

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.

Built from

OpenAlex — works, authorships, subject classification
ROR — institutional identity
ORCID — researcher identity
Crossref — publisher confirmation

Browse

Countries
Institutions
Fields
Rankings
What we cover

Coverage is partial and says so. A country appears with its research output only once its works have been swept; until then the portal shows whatever the graph happens to hold for it and labels it as exactly that.

Empirical analysis of tree-based classification models for customer churn prediction

2023Scientific AfricanJournalOpen access

10.1016/j.sciaf.2023.e02054 Full text22 citations

Authors

9 authors across 4 institutions in 4 countries.

Fatima Enehezei Usman-HamzaFirst author
- University of Ilorin (NG)
as printed: Fatima E. Usman-Hamza
Abdullateef Oluwagbemiga BalogunCorresponding
as printed: Abdullateef O. Balogun
Salahdeen K. Nasiru
- University of Ilorin (NG)
Luiz Fernando Capretz
Hammed A. MojeedCorresponding
- University of Ilorin (NG)
Shakirat Aderonke Salihu
- University of Ilorin (NG)
as printed: Shakirat A. Salihu
Abimbola Ganiyat Akintola
- University of Ilorin (NG)
as printed: Abimbola G. Akintola
Modinat A. Mabayoje
- University of Ilorin (NG)
Joseph Bamidele AwotundeSenior author
- University of Ilorin (NG)
as printed: Joseph B. Awotunde

Fields

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

Customer churn and segmentationlevel 3 · 1.00
Data Mining Algorithms and Applicationslevel 3 · 0.99
Customer Service Quality and Loyaltylevel 3 · 0.98

Sources

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

openalexseen September 9, 2026
2023 · Scientific African · 22 citations
https://openalex.org/W4390145746

Empirical analysis of tree-based classification models for customer churn prediction · Sankore