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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.

Classification of customer churn prediction model for telecommunication industry using analysis of variance

2023IAES International Journal of Artificial IntelligenceJournalOpen access

10.11591/ijai.v12.i3.pp1323-1329 Full text13 citations

Authors

4 authors across 2 institutions in 1 country.

Ronke Seyi BabatundeFirst author
- Kwara State University (NG)
as printed: Ronke Babatunde
Suleiman Abdulsalam
- Kwara State University (NG)
as printed: Sulaiman Olaniyi Abdulsalam
Olanshile Abdulkabir Abdulsalam
- Kwara State University (NG)
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
Consumer Retail Behavior Studieslevel 3 · 0.93

Sources

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

openalexseen September 9, 2026
2023 · IAES International Journal of Artificial Intelligence · 13 citations
https://openalex.org/W4361022396

Classification of customer churn prediction model for telecommunication industry using analysis of variance · Sankore