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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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Improving Customer Churn Prediction Using Domain-Driven Feature Engineering, Resampling, and CatBoost with Explainability Extensions

2025Publication

10.1109/isemantic67418.2025.11291801 Full text2 citations

Authors

6 authors across 3 institutions in 3 countries.

Muhammad Jamaludin NurFirst author
Muhammad Jamaludin NurFirst author
Muhammad Jamaludin NurFirst author
De Rosal Ignatius Moses Setiadi
Arnold Adimabua Ojugo
- Federal University of Petroleum Resource Effurun (NG)
Minh T. NguyenSenior author

Fields

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

Customer churn and segmentationlevel 3 · 0.98
AI and HR Technologieslevel 3 · 0.00
Customer Service Quality and Loyaltylevel 3 · 0.00

Sources

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

openalexseen September 9, 2026
2025 · 2 citations
https://openalex.org/W4417470916

Improving Customer Churn Prediction Using Domain-Driven Feature Engineering, Resampling, and CatBoost with Explainability Extensions · Sankore