Data Mining
With the proliferation of data, the field of Data Mining has gained rapid popularity. Data Mining focuses on the discovery of patterns in large datasets by making use of statistical and machine learning techniques.
Our current focus involves leveraging machine learning techniques to facilitate efficient and effective delivery of services in the health and educational domains---two areas that are of significance in the so-called developing world.
Project Members
Data Mining Publications
Chaibela, Mutune, Ivy Chisha, David Pungwa, Danny Siabbaba, and Bydon Simukoko. 2021. “Performance Predictor: A Data Mining And Machine Learning Software For Student Performance Outcomes”. Lusaka, Zambia: The University of Zambia. http://lis.unza.zm/archive/handle/123456789/90. |
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Chipangila, Bertha, Eric Liswaniso, Andrew Mawila, Philomena Mwanza, Daisy Nawila, Robert Msendo, Mayumbo Nyirenda, and Lighton Phiri. 2021. “Improved Discoverability Of Digital Objects In Institutional Repositories Using Controlled Vocabularies”. In 2021 Acm/Ieee Joint Conference On Digital Libraries (Jcdl 2021). Champaign, IL, USA: IEEE. doi:https://doi.org/10.1109/JCDL52503.2021.00022. |
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Phiri, Lighton. 2020. “Automatic Classification Of Digital Objects For Improved Metadata Quality Of Electronic Theses And Dissertations In Institutional Repositories”. International Journal Of Metadata, Semantics And Ontologies 14: 234-248. doi:10.1504/IJMSO.2020.112804. |
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Phiri, Lighton. 2019. “A Multi-Faceted Multi-Stakeholder Approach For Increased Visibility Of Etds In Zambia”. Cadernos Bad 2019 (1). http://hdl.handle.net/20.500.11959/brapci/134563. |
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Phiri, Lighton. 2018. “Research Visibility In The Global South : Towards Increased Online Visibility Of Scholarly Research Output In Zambia”. In 2Nd Ieee International Conference In Information And Communication Technologies. Lusaka, Zambia. http://dspace.unza.zm/handle/123456789/5723. |
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