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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.

A Comparative Study of the Effectiveness of Selected Machine Learning Algorithms for Scalability and Accuracy in Filtering Email Spams

2024Advances in Multidisciplinary & Scientific Research Journal PublicationJournalOpen access

10.22624/aims/accrabespoke2024p33xx Full text0 citations

Authors

7 authors across 2 institutions in 2 countries.

Fatimah Adamu-FikaFirst author
- University of Ghana (GH)
Blessing Ashedze
- University of Ghana (GH)
Kamaludeen Shehu Bature
- University of Ghana (GH)
Dauda Sule
Suleiman Abu Usman
Henry Onyeoma Mafua
Onyinye Vivian OkpokoSenior author
- University of Ghana (GH)

Fields

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

Spam and Phishing Detectionlevel 3 · 0.97
Personal Information Management and User Behaviorlevel 3 · 0.92
Human Mobility and Location-Based Analysislevel 3 · 0.91

Sources

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

openalexseen September 5, 2026
2024 · Advances in Multidisciplinary & Scientific Research Journal Publication · 0 citations
https://openalex.org/W4413374799

A Comparative Study of the Effectiveness of Selected Machine Learning Algorithms for Scalability and Accuracy in Filtering Email Spams · Sankore