Hasan Al Mashhadani, Asraa Ahmedİnan, TimurAhmed, Ali Saadoon2023-08-212023-08-212023Hasan Al Mashhadani, A. A., Inan, T., Ahmed, A. S. (2023). Data mining management system optimization using swarm intelligence. HORA 2023 - 2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, Proceedings9798350337525https://hdl.handle.net/20.500.12939/3690Because 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.eninfo:eu-repo/semantics/closedAccessAIClusteringDataminingSIConference Object2-s2.0-85165712279N/A