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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.

Development of machine learning models for categorisation of Nigerian government's procurement spending to UNSPSC procurement taxonomy

2022International Journal of Procurement ManagementJournal

10.1504/ijpm.2022.10057133 Full text2 citations

Authors

6 authors across 2 institutions in 2 countries.

Muhammad Aliyu YamusaFirst author
- Ahmadu Bello University (NG)
as printed: Muhammad A. Yamusa
Kabir Bala
- Ahmadu Bello University (NG)
Yusuf Ibrahim
- Ahmadu Bello University (NG)
Ahmed Doko Ibrahim
- Ahmadu Bello University (NG)
as printed: Ahmed D. Ibrahim
Y. M. Ibrahim
- Ahmadu Bello University (NG)
as printed: Yahaya M. Ibrahim
Bello AbdullahiSenior author

Fields

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

Data Mining and Machine Learning Applicationslevel 3 · 0.71
Management and Optimization Techniqueslevel 3 · 0.61

Sources

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

openalexseen September 9, 2026
2022 · International Journal of Procurement Management · 2 citations
https://openalex.org/W4381517406

Development of machine learning models for categorisation of Nigerian government's procurement spending to UNSPSC procurement taxonomy · Sankore