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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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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.

Customer Churn Prediction System using Deep Learning Techniques

2024Publication

10.1109/nigercon62786.2024.10927374 Full text0 citations

Authors

8 authors across 2 institutions in 1 country.

Tope-Oke Adebusola ModupeolaFirst author
- Afe Babalola University (NG)
Olatokun Wole Michael
- University of Ibadan (NG)
Olatokun Wole Michael
- University of Ibadan (NG)
Abdulazeez Olayinka Olatokun
- Afe Babalola University (NG)
Babalola Gbemisola
- Afe Babalola University (NG)
Obamiyi Stephen Eyitayo
- Afe Babalola University (NG)
A Fasesan Oluwatoyin
- Afe Babalola University (NG)
as printed: Abiola Oluwatoyin
Oguntimilehin AbiodunSenior author
- Afe Babalola University (NG)

Fields

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

Customer churn and segmentationlevel 3 · 1.00

Sources

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

openalexseen September 9, 2026
2024 · 0 citations
https://openalex.org/W4408792944

Customer Churn Prediction System using Deep Learning Techniques · Sankore