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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.

A Churn Prediction System for Telecommunication Company Using Random Forest and Convolution Neural Network Algorithms

2022ICST Transactions on Mobile Communications and ApplicationsJournalOpen access

10.4108/eetmca.v6i21.2181 Full text11 citations

Authors

4 authors across 2 institutions in 1 country.

Suleiman AbdulsalamFirst author
- Kwara State University (NG)
as printed: Sulaiman Olaniyi Abdulsalam
Jumoke Falilat Ajao
- Kwara State University (NG)
Bukola F. Balogun
- Kwara State University (NG)
as printed: Bukola Fatimah Balogun
Micheal Olaolu ArowoloSenior author
- Landmark University (NG)

Fields

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

Customer churn and segmentationlevel 3 · 1.00
Customer Service Quality and Loyaltylevel 3 · 0.99
Big Data and Business Intelligencelevel 3 · 0.95

Sources

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

openalexseen September 9, 2026
2022 · ICST Transactions on Mobile Communications and Applications · 11 citations
https://openalex.org/W4288050604

A Churn Prediction System for Telecommunication Company Using Random Forest and Convolution Neural Network Algorithms · Sankore