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
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 (3). Inderscience: 234-48. 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, no. 1. http://hdl.handle.net/20.500.11959/brapci/134563. |
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Chisakula, Treasure, Lwiindi Mudimba, Chisha Mwansa, Noreen Mwelwa, Monica Nakazwe, and Lighton Phiri. 2018. “Factors Affecting Adoption and Use of Moodle by Academic Teaching Staff at The University Of Zambia”. Lusaka, Zambia: The University of Zambia. http://lis.unza.zm/archive/handle/123456789/79. |
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Phiri, Lighton. 2018. “Research Visibility in the Global South : Towards Increased Online Visibility of Scholarly Research Output in Zambia”. In Proceedings of the 2nd IEEE International Conference in Information and Communication Technologies (ICICT 2018). Lusaka, Zambia. http://dspace.unza.zm/handle/123456789/5723. |
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