Identifying themes in online harassment using text analytics

Researcher:  Miss Safiyyah Ismail, The University of the WitwatersrandSupervisor: Professor Rod Alence, University of the Witwatersrand, Johannesburg Nothing quite affects human behaviour as much as the internet. With a cloak of invisibility and anonymity in cyberspace, a new phenomenon known as cyberharassment has been created. It is

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Supervised versus Semi-supervised Machine Learning in the search for new Physics with the ATLAS data

Researcher: Lindiwe Malobola, University of the Witwatersrand, JohannesburgSupervisor: Professor Bruce Mellado, University of the Witwatersrand, Johannesburg Present-day machine learning methods can be used to build very powerful models for difficult collider physics problems. In numerous applications, the models are often built using fully supervised machine learning methods

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The Impact of Initialization Strategies on the K-Means Convergence

Researchers: Tshauambea Murendeni, University of VendaSupervisor: Ms Nothabo Ndebele, University of the Witwatersrand, Johannesburg Clustering is a method where information items are grouped to attain the objective of maximizing within cluster resemblance and dissimilarity of different clusters [1]. The kmeans algorithm is commonly used, simple and ease

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Population Density and National-Level Governance in Africa

Researcher: Pranish Desai, University of the Witwatersrand, JohannesburgSupervisor: Professor Rod Alence, University of the Witwatersrand, Johannesburg Previous studies into the effect of population density on governance in Africa have been mainly qualitative due to problems with reliable population data. In recent years population data has become more

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Fingerprint Image Compression using DCT-based Algorithms

Researcher: Promise Magoma, University of VendaSupervisors: Dr Farai Mlambo, University of the Witwatersrand, Johannesburg The main aim of this research project is to develop an image compression model based on discrete cosine transform (DCT) to reduce image redundancy (noise).

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Text Mining and the TRC: An inquiry into methodological viability

Researcher: Joshua Nel, University of the Witwatersrand, JohannesburgSupervisor: Professor Rod Alence, University of the Witwatersrand, Johannesburg The unprecedented growth in size and volume of data requires the examination of novel technologies. The research project applies text mining applications to a section of Truth and Reconciliation Transcripts to

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