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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.

Customer Churn Prediction in Telecommunication Industry Using Classification and Regression Trees and Artificial Neural Network Algorithms

2022Indonesian Journal of Electrical Engineering and Informatics (IJEEI)JournalOpen access

10.52549/ijeei.v10i2.2985 Full text19 citations

Authors

4 authors across 3 institutions in 1 country.

Suleiman AbdulsalamFirst author
- Kwara State University (NG)
as printed: Sulaiman Olaniyi Abdulsalam
Micheal Olaolu Arowolo
- Landmark University (NG)
Yakub Kayode Saheed
- American University of Nigeria (NG)
Jesutofunmi Onaope AfolayanSenior 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 · 0.98

Sources

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

openalexseen September 9, 2026
2022 · Indonesian Journal of Electrical Engineering and Informatics (IJEEI) · 19 citations
https://openalex.org/W4283823051

Customer Churn Prediction in Telecommunication Industry Using Classification and Regression Trees and Artificial Neural Network Algorithms · Sankore