General overview of data stream clustering

Публікація:
General overview of data stream clustering

dc.contributor.author	Помазан, В. В.
dc.date.accessioned	2023-09-08T16:17:08Z
dc.date.available	2023-09-08T16:17:08Z
dc.date.issued	2023
dc.description.abstract	Data stream clustering is a widely researched problem in data mining and machine learning. This involves grouping data points that arrive sequentially and continuously over time, making it difficult to work with because of the large amounts of data that need to be processed in real-time. This work reviews recent advances in data stream clustering algorithms and techniques, including traditional and online clustering methods, ensemble methods, and stream-based outlier detection, discusses the evaluation metrics for data stream clustering, and highlights some open research challenges in this area.
dc.identifier.citation	Помазан В. В. General overview of data stream clustering / В. В. Помазан // Радіоелектроніка та молодь у ХХІ столітті : матеріали 27-го Міжнар. молодіж. форуму, 10–12 травня 2023 р. – Харків : ХНУРЕ, 2023. – Т. 7, 10. – С. 30-31.
dc.identifier.uri	https://openarchive.nure.ua/handle/document/24128
dc.language.iso	en
dc.publisher	ХНУРЕ
dc.title	General overview of data stream clustering
dc.type	Abstract of Thesis
dspace.entity.type	Publication