Data mining management system optimization using swarm intelligence
dc.contributor.author | Hasan Al Mashhadani, Asraa Ahmed | |
dc.contributor.author | İnan, Timur | |
dc.contributor.author | Ahmed, Ali Saadoon | |
dc.date.accessioned | 2023-08-21T06:51:01Z | |
dc.date.available | 2023-08-21T06:51:01Z | |
dc.date.issued | 2023 | en_US |
dc.department | Enstitüler, Lisansüstü Eğitim Enstitüsü, Bilişim Teknolojileri Ana Bilim Dalı | en_US |
dc.description.abstract | Because 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. | en_US |
dc.identifier.citation | Hasan 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, Proceedings | en_US |
dc.identifier.isbn | 9798350337525 | |
dc.identifier.scopus | 2-s2.0-85165712279 | |
dc.identifier.scopusquality | N/A | |
dc.identifier.uri | https://hdl.handle.net/20.500.12939/3690 | |
dc.indekslendigikaynak | Scopus | |
dc.institutionauthor | Hasan Al Mashhadani, Asraa Ahmed | |
dc.institutionauthor | İnan, Timur | |
dc.language.iso | en | |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
dc.relation.ispartof | HORA 2023 - 2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, Proceedings | |
dc.relation.isversionof | 10.1109/HORA58378.2023.10156732 | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - İdari Personel ve Öğrenci | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | AI | en_US |
dc.subject | Clustering | en_US |
dc.subject | Datamining | en_US |
dc.subject | SI | en_US |
dc.title | Data mining management system optimization using swarm intelligence | |
dc.type | Conference Object |
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