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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.

Unsupervised Machine Learning Model for the Real-time Prevention of Phishing of Financial Data: An Exploration of Self-Organizing Map

2026Middle East Journal of Applied Science & TechnologyJournalOpen access

10.46431/mejast.2026.9206 Full text0 citations

Authors

4 authors across 3 institutions in 1 country.

Gbolahan Babatunde AjayiFirst author
- American University of Nigeria (NG)
E. J. Garba
- Modibbo Adama University of Technology (NG)
as printed: E.J. Garba
Y. M. Malgwi
- Modibbo Adama University of Technology (NG)
as printed: Y.M. Malgwi
Kehinde AgboolaSenior author
- University of Ibadan (NG)

Fields

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

Spam and Phishing Detectionlevel 3 · 0.84
Cybercrime and Law Enforcement Studieslevel 3 · 0.03
Imbalanced Data Classification Techniqueslevel 3 · 0.01

Sources

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

openalexseen September 9, 2026
2026 · Middle East Journal of Applied Science & Technology · 0 citations
https://openalex.org/W7168735274

Unsupervised Machine Learning Model for the Real-time Prevention of Phishing of Financial Data: An Exploration of Self-Organizing Map · Sankore