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Typically, visual analytics has been deployed when data problems are ill defined and/or the configuration of the data is not easily subject to algorithmic analysis. Within the context of big data these characteristics are the norm, leading to increased interest in applications known as visual data mining (VDM). The aim of VDM is to augment algorithmic analysis with human visual cognition, where data variables are mapped to graphic attributes and differentiated through spatial position, shape and colour, thus bringing human visual perception and creativity to analysis [1, 2]. VDM utilizes graphic mapping techniques ranging from graphs and scatterplots to tree maps, display icons, tag clouds and cluster grams. While there has being some activity and speculation on the potential of virtual reality

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