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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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Development of an Enhanced Naïve Bayes and Association Rule Mining Hybridized Algorithms for Multi-Documents Summarization Approach

2025INTERNATIONAL JOURNAL OF MATHEMATICS AND COMPUTER RESEARCHJournalOpen access

10.47191/ijmcr/v13i7.12 Full text0 citations

Authors

5 authors across 2 institutions in 1 country.

Jelili Olalekan AMOOFirst author
- Federal College of Education, Kano (NG)
as printed: Jelili Olalekan AMOO
Professor Joshua Ayobami AYENI
- Federal College of Education, Kano (NG)
Mayowa Oyedepo Oyediran
- Ajayi Crowther University (NG)
as printed: Mayowa Oyedepo OYEDIRAN PhD
Ajobiewe, Damilola Nnamaka
- Federal College of Education, Kano (NG)
as printed: Damilola Nnamaka AJOBIEWE PhD
Enitan Olabisi AdebayoSenior author
- Federal College of Education, Kano (NG)
as printed: Enitan Olabisi ADEBAYO

Fields

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

Technology and Data Analysislevel 3 · 0.99
Text and Document Classification Technologieslevel 3 · 0.97
Advanced Text Analysis Techniqueslevel 3 · 0.97

Sources

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

openalexseen September 9, 2026
2025 · INTERNATIONAL JOURNAL OF MATHEMATICS AND COMPUTER RESEARCH · 0 citations
https://openalex.org/W4412593622

Development of an Enhanced Naïve Bayes and Association Rule Mining Hybridized Algorithms for Multi-Documents Summarization Approach · Sankore