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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.

House Price Prediction using Random Forest Machine Learning Technique

2022Procedia Computer SciencePublicationOpen access

10.1016/j.procs.2022.01.100 Full text180 citations

Authors

6 authors across 2 institutions in 1 country.

Abigail Bola AdetunjiFirst author
- Ladoke Akintola University of Technology (NG)
Oluwatobi Noah AkandeCorresponding
- Landmark University (NG)
Funmilola Alaba Ajala
- Ladoke Akintola University of Technology (NG)
Ololade Oyewo
- Ladoke Akintola University of Technology (NG)
Yetunde Faith Akande
- Landmark University (NG)
Gbenle OluwadaraSenior author
- Landmark University (NG)

Fields

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

Housing Market and Economicslevel 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
2022 · Procedia Computer Science · 180 citations
https://openalex.org/W4210341208

House Price Prediction using Random Forest Machine Learning Technique · Sankore