Please use this identifier to cite or link to this item: https://hdl.handle.net/10321/5308
Title: Predicting serious crime trends in South Africa using data analytic techniques
Authors: Falope, Olayemi Success 
Keywords: Predictive data analytics;Ordinary Least Square Regression;Machine learning;Time series analysis;Spatial analysis;Serious crimes
Issue Date: 2024
Abstract: 
This dissertation aims to investigate the application of data analytics in forecasting serious crime trends in South Africa. The escalating rates of serious crimes, including homicide, robbery, and sexual assault, present significant challenges to the country's economic growth and the safety of its citizens. Recent South African crime statistics indicate a notable increase of over 9.6% in serious ...
Description: 
Submitted in fulfilment of the requirements for the Degree of Master of Information and Communications Technology, Durban University of Technology, Durban, South Africa, 2024.
URI: https://hdl.handle.net/10321/5308
DOI: https://doi.org/10.51415/10321/5308
Appears in Collections:Theses and dissertations (Accounting and Informatics)

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