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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.

Stock feature dimensionality reduction for closing price prediction using unsupervised machine learning technique (case study of Nigeria Stock Exchange)

2024World Journal of Advanced Research and ReviewsJournalOpen access

10.30574/wjarr.2024.21.3.0912 Full text0 citations

Authors

4 authors across 2 institutions in 2 countries.

Mbeledogu Njideka NkemdilimFirst authorCorresponding
- Nnamdi Azikiwe University (NG)
Paul Roseline Uzoamaka
- Nnamdi Azikiwe University (NG)
Ugoh Daniel
- Nnamdi Azikiwe University (NG)
Mbeledogu Kaodilichukwu ChidiSenior author

Fields

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

Stock Market Forecasting Methodslevel 3 · 1.00
Financial Markets and Investment Strategieslevel 3 · 0.93

Sources

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

openalexseen September 9, 2026
2024 · World Journal of Advanced Research and Reviews · 0 citations
https://openalex.org/W4395087029

Stock feature dimensionality reduction for closing price prediction using unsupervised machine learning technique (case study of Nigeria Stock Exchange) · Sankore