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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.

Machine Learning-Driven Anomaly Detection in a Large-Scale Database Systems: A Systematic Literature Review

2026International journal of research and scientific innovationJournal

10.51244/ijrsi.2026.1304000140 Full text0 citations

Authors

7 authors.

Nzenwata Uchenna JeremiahFirst author
- Babcock University (NG)
Bathnna Bernice Stephen
- Babcock University (NG)
Oyewumi Oluwatobi
- Babcock University (NG)
Akinola Victor Ayomide
- Babcock University (NG)
O Ogunkoya John
- Babcock University (NG)
as printed: Oyewumi Abiodun John
Nwangburuka Samuel
- Babcock University (NG)
Adediran Oluwaseyi SegunSenior author
- Babcock University (NG)

Fields

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

Anomaly Detection Techniques and Applicationslevel 3 · 0.38
Software System Performance and Reliabilitylevel 3 · 0.35
Imbalanced Data Classification Techniqueslevel 3 · 0.06

Sources

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

openalexseen September 9, 2026
2026 · International journal of research and scientific innovation · 0 citations
https://openalex.org/W7160864523

Machine Learning-Driven Anomaly Detection in a Large-Scale Database Systems: A Systematic Literature Review · Sankore