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Öğe Data mining management system optimization using swarm intelligence(Institute of Electrical and Electronics Engineers Inc., 2023) Hasan Al Mashhadani, Asraa Ahmed; İnan, Timur; Ahmed, Ali SaadoonBecause of a phenomenon known as the 'curs e of dimensionality,' standard machine learning algorithms have difficulty dealing with high-dimensional data. There are more possible examples in the data space as the number of dimensions increases; however, as the number of dimensions increases, the amount of data that can be accessed decreases. There are a greater number of potential instances in the data space when there are more dimensions. The amount of data required by machine learning algorithms to address problems with such a high dimension increases exponentially with the number of problem-related characteristics. In this paper, we examine the suggested algorithms' methods for selecting features and their relationship to the data representation.