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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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Machine Learning–Based Customer Churn Prediction in Telecommunication Industry

2026Applied Computational Intelligence and Soft ComputingJournalOpen access

10.1155/acis/8496186 Full text1 citations

Authors

3 authors.

Henry Nii-Armah MettleFirst authorCorresponding
- University of Energy and Natural Resources (GH)
Emmanuel Herson Ayerko
- University of Energy and Natural Resources (GH)
Peter AppiaheneSenior author
- University of Energy and Natural Resources (GH)

Fields

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

Customer churn and segmentationlevel 3 · 0.99
Customer Service Quality and Loyaltylevel 3 · 0.00
AI and HR Technologieslevel 3 · 0.00

Sources

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

openalexseen September 5, 2026
2026 · Applied Computational Intelligence and Soft Computing · 1 citations
https://openalex.org/W7162500565

Machine Learning–Based Customer Churn Prediction in Telecommunication Industry · Sankore