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
Kasonde, Cecilia, and Lighton Phiri. 2023. “Assessing And Promoting Metadata Quality For Electronic Theses And Dissertations In Institutional Repositories Using A Policy-Driven Approach”. In 26Th International Symposium On Electronic Theses And Dissertations. Gujarat, Indian: INFLIBNET Centre. http://ir.inflibnet.ac.in/handle/1944/2412. |
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Chileshe, Elijah, and Lighton Phiri. 2023. “Large-Scale Analysis Of Medical Image Metadata”. In 2023 Pan African Conference On Science, Computing And Telecommunications (Pact 2023). Lusaka, Zambia: Zambia ICT Journal. https://ictjournal.icict.org.zm/index.php/icict/article/view/277. |
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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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Nyambe, Frazer, Nkole Mulenga, Richard Mufuzi, and Geoffrey Ngoma. 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, and Linda Mwanza. 2022. “Integrated National Research Portal: An Interoperable Web Application That Aggregates Research Publications”. Lusaka, Zambia: University of Zambia. |
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