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, Adrian Chisale, and Lighton Phiri. 2022. “Empirical Evaluation of ETD-Ms Compliance in Institutional Repositories”. In 25th International Symposium on Electronic Theses and Dissertations (ETD 2022). Novi Sad, Serbia: Networked Digital Library of Theses and Dissertations. doi:10.5281/zenodo.7084848. |
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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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Chipangila, Bertha, Eric Liswaniso, Andrew Mawila, Philomena Mwanza, Daisy Nawila, Robert M’sendo, Mayumbo Nyirenda, and Lighton Phiri. 2021. “Improved Discoverability of Digital Objects in Institutional Repositories Using Controlled Vocabularies”. In Proceedings of the 2021 ACM IEEE Joint Conference on Digital Libraries (JCDL 2021), 100-109. Champaign, IL, USA: IEEE. doi:10.1109/JCDL52503.2021.00022. |
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Chaibela, Mutune, Ivy Chisha, David Pungwa, Danny Siabbaba, Bydon Simukoko, and Lighton Phiri. 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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