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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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Intelligent Decision Forest Models for Customer Churn Prediction

2022Applied SciencesJournalOpen access

10.3390/app12168270 Full text31 citations

Authors

10 authors across 5 institutions in 5 countries.

Fatima Enehezei Usman-HamzaFirst author
- University of Ilorin (NG)
Abdullateef Oluwagbemiga BalogunCorresponding
- University of Ilorin (NG)
Luiz Fernando Capretz
Hammed A. MojeedCorresponding
- University of Ilorin (NG)
as printed: Hammed Adeleye Mojeed
Saipunidzam Mahamad
Shakirat Aderonke Salihu
- University of Ilorin (NG)
Abimbola Ganiyat Akintola
- University of Ilorin (NG)
Shuib Bin Basri
as printed: Shuib Basri
Ramoni Tirimisiyu Amosa
- University of Ilorin (NG)
Nasiru Kehinde SalahdeenSenior author
- University of Ilorin (NG)

Fields

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

Customer churn and segmentationlevel 3 · 1.00
Consumer Retail Behavior Studieslevel 3 · 0.99
Customer Service Quality and Loyaltylevel 3 · 0.99

Sources

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

openalexseen September 9, 2026
2022 · Applied Sciences · 31 citations
https://openalex.org/W4293791119

Intelligent Decision Forest Models for Customer Churn Prediction · Sankore