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
Mvula, Joshua, and Lighton Phiri. 2026. “Credit Scoring System for Multiclass Loan Applicant Classification Using Machine Learning”. Lusaka, Zambia: University of Zambia. |
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Mazole, Donald, Emmanuel Kafunda, and Lighton Phiri. 2026. “Automating the Detection of Surface Defects on Solar Panels in Zambia”. Lusaka, Zambia: University of Zambia. |
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Samuel, Ben, Ephetred Ndhlovu, and Lighton Phiri. 2026. “AI-Powered Insurance Claims Automation Platform: A Case Study of Hobbiton Investments, Zambia”. Lusaka, Zambia: University of Zambia. |
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Chipangila, Bertha, Eric Liswaniso, Andrew Mawila, Philomena Mwanza, Daisy Nawila, Robert M’sendo, Mayumbo Nyirenda, and Lighton Phiri. 2023. “Controlled Vocabularies in Digital Libraries: Challenges and Solutions for Increased Discoverability of Digital Objects”. International Journal on Digital Libraries 25 (2). Springer: 139-55. doi:10.1007/s00799-023-00374-1. |
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Chalwe, Christabel, Chisanga Chanda, Lweendo Muzyamba, Joe Mwape, and Lighton Phiri. 2023. “WikiMotivate: A Facebook Plugin for Motivating Content Creation and Contribution on Wikipedia”. Lusaka: University of Zambia. |
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