Please use this identifier to cite or link to this item: https://hdl.handle.net/10321/5580
Title: Data mining and machine learning : a study of the CO2 emission trends in South Africa
Authors: Mohamed, Ghulam Masudh 
Keywords: Carbon Dioxide emissions (CO2E),
Issue Date: 2024
Abstract: 
This study addresses the pressing global issue of elevated carbon dioxide emissions (CO2E), with a particular focus on South Africa (SA), which ranks amongst the world's top emitters and largest in Africa. By introducing a novel integration of Change-point Analysis (CPA) and Machine Learning (ML) techniques, this research addresses significant gaps in CO2E trend analysis. Unlike previous studies, ...
Description: 
A dissertation submitted in fulfillment of the requirement for the degree of Master of Information and Communications Technology, Durban University of Technology, Durban, South Africa, 2024.
URI: https://hdl.handle.net/10321/5580
DOI: https://doi.org/10.51415/10321/5580
Appears in Collections:Theses and dissertations (Accounting and Informatics)

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