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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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Enhancing Telecom Customer Churn Prediction Through Hyperparameter Tuning and Soft‐Voting Ensemble Modeling

2026Applied Computational Intelligence and Soft ComputingJournalOpen access

10.1155/acis/7620084 Full text2 citations

Authors

4 authors.

Henry Nii-Armah MettleFirst authorCorresponding
- University of Energy and Natural Resources (GH)
Gideon Osei
- University of Energy and Natural Resources (GH)
Ernest Amankwaa Winchester
- University of Energy and Natural Resources (GH)
Emmanuel Herson AyerkoSenior 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
Big Data and Business Intelligencelevel 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 · 2 citations
https://openalex.org/W7154623731

Enhancing Telecom Customer Churn Prediction Through Hyperparameter Tuning and Soft‐Voting Ensemble Modeling · Sankore