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
Chanda, Chilufya, Chileshe Kamfwa, Chuulu Mainda, and Lighton Phiri. 2023. “The Zambia National Electronic Theses And Dissertations Pre-Processing Pipeline Portal”. 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, 17. doi:10.1007/s00799-023-00374-1. |
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Nyambe, Frazer, Nkole Mulenga, Richard Mufuzi, Geoffrey Ngoma, and Lighton Phiri. 2022. “Rule-Based Automatic Generation Of Electronic Theses And Dissertations Metadata”. Lusaka, Zambia: University of Zambia. |
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Bule, Prudence, Emmanuel Kuyela, Blessed Makungu, Linda Mwanza, and Lighton Phiri. 2022. “Integrated National Research Portal: An Interoperable Web Application That Aggregates Research Publications”. Lusaka, Zambia: University of Zambia. |
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Kasonde, Cecilia, Adrian Chisale, and Lighton Phiri. 2022. “Empirical Evaluation Of Etd-Ms Compliance In Institutional Repositories”. In 25Th International Symposium On Electronic Theses And Dissertations. Novi Sad, Serbia: Networked Digital Library of Theses and Dissertations. doi:10.5281/zenodo.7084847. |
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