Data Mining in the Context of Legality, Privacy, and Ethics

Amos Okomayin, Tosin Ige and Abosede Kolade
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Amos Okomayin: Department of Computer Science, Middlesex University, London. United Kingdom
Tosin Ige: Department of Computer Science, University of Texas at El Paso, Texas, USA
Abosede Kolade: Department of Marketing and Bus., Texas A&M University, Commerce Texas, USA

International Journal of Research and Scientific Innovation, 2023, vol. 10, issue 7, 10-15

Abstract: Data mining possess a significant threat to ethics, privacy, and legality, especially when we consider the fact that data mining makes it difficult for an individual or consumer (in the case of a company) to control accessibility and usage of his data. Individuals should be able to control how his/ her data in the data warehouse is being access and utilize while at the same time providing enabling environment which enforces legality, privacy and ethicality on data scientists, or data engineer during data mining process. This paper review issues of legality, privacy, and ethicality in data mining, review processes of Data mining, and also proposes solution to current ethical and privacy issue in data mining. It introduces a new method which enforces data mining without infringing on the privacy of individual or consumer whose data are being used. The sole aim of this paper is to propose a new method of mining data which restricts scientists within the constraints of legality, privacy, and ethicality.

Date: 2023
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