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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.

Efficient Ensemble-based Phishing Website Classification Models using Feature Importance Attribute Selection and Hyper parameter Tuning Approaches

2023Journal of Information Technology and ComputingJournalOpen access

10.48185/jitc.v4i2.891 Full text1 citations

Authors

8 authors.

Rasheed Gbenga JimohFirst author
as printed: R. G Jimoh
Akinyemi Oyelakin
- Crescent University (NG)
as printed: Akinyemi Moruff OYELAKIN
Oluwakemi Christiana Abikoye
as printed: Abikoye O. C.
Mulikat Bola Akanbi
as printed: Akanbi M. B.
Gbolagade M. D
Akanni A. O.
Jibrin M. A.
T. S. OgundeleSenior author
as printed: Ogundele T. S.

Fields

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

Spam and Phishing Detectionlevel 3 · 1.00
Network Security and Intrusion Detectionlevel 3 · 1.00
Advanced Malware Detection Techniqueslevel 3 · 1.00

Sources

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

openalexseen September 9, 2026
2023 · Journal of Information Technology and Computing · 1 citations
https://openalex.org/W4390691540

Efficient Ensemble-based Phishing Website Classification Models using Feature Importance Attribute Selection and Hyper parameter Tuning Approaches · Sankore