Data Mining

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

Postgraduate Student
MSc Computer Science
Postgraduate Student
MA Library and Information Science
Undergraduate Student
B.ICT With Education
Undergraduate Student
B.ICT With Education
Undergraduate Student
B.ICT With Education
Undergraduate Student
B.ICT With Education
Undergraduate Student
B.ICT With Education
Undergraduate Student
B.ICT With Education
Academic Staff
Undergraduate Student
BA Library and Information Science
Undergraduate Student
BA Library and Information Science
Undergraduate Student
B.ICT With Education
Postgraduate Student
MSc Computer Science
Postgraduate Student
MSc Computer Science
Undergraduate Student
B.ICT With Education
Undergraduate Student
B.ICT With Education
Undergraduate Student
B.ICT With Education
Undergraduate Student
B.ICT With Education
Undergraduate Student
B.ICT With Education
Undergraduate Student
B.ICT With Education
Undergraduate Student
B.ICT With Education
Undergraduate Student
B.ICT With Education
Undergraduate Student
B.ICT With Education
Undergraduate Student
B.ICT With Education
Undergraduate Student
B.ICT With Education
Undergraduate Student
B.ICT With Education
Undergraduate Student
B.ICT With Education
Undergraduate Student
B.ICT With Education

Data Mining Publications

2018
Chisakula, Treasure, Lwiindi Mudimba, Chisha Mwansa, Noreen Mwelwa, and Monica Nakazwe. 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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