An Application of Data Mining in the Fourth Industrial Revolution - A Case of South Africa

T. A. Malapane
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Abstract

This research paper explores the in-depth application of Data Mining in the Fourth Industrial Revolution (4IR) in South Africa. The Industrial Revolution concept has fundamentally changed our society and economy. In South Africa, data mining phenomena has not been fully realized in the age of the 4IR. In the age of information and 4IR data is viewed as a strategic assert that companies should invest in. Results in this study shows that the concept of data mining in South African business landscape is not fully executed and applied to business development and management as a practice. Statistical observations also indicate that baselines, historical data and intelligence if used properly can benefit businesses to grow and develop. This study attempted to discover hidden valuable knowledge by analyzing data using statistical data mining techniques during which a new data mining technique to analyze data, interpret it and present it was discovered. This research tested the new approach referred to as Alex Malapane Data Mining Technique (AMDMT) using test questions which were explored as per the objective of this study.
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数据挖掘在第四次工业革命中的应用——以南非为例
本文探讨了数据挖掘在南非第四次工业革命(4IR)中的深入应用。工业革命的概念从根本上改变了我们的社会和经济。在南非,数据挖掘现象在第四次工业革命时代还没有完全实现。在信息和第四次工业革命时代,数据被视为企业应该投资的战略主张。本研究的结果表明,数据挖掘的概念在南非的商业环境中没有得到充分的执行,也没有作为一种实践应用到商业发展和管理中。统计观察还表明,如果使用得当,基线、历史数据和情报可以有利于企业的成长和发展。本研究试图利用统计数据挖掘技术对数据进行分析,发现隐藏的有价值的知识。在此过程中,发现了一种新的数据挖掘技术来分析、解释和呈现数据。本研究测试了被称为Alex Malapane数据挖掘技术(AMDMT)的新方法,使用了根据本研究目标探索的测试问题。
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