A Systematic Review of Density Grid-Based Clustering for Data Streams

Various applications, such as electronic business, satellite remote sensing, intrusion discovery, and network traffic monitoring, generate large unbounded data stream sequences at a rapid pace. The clustering of data streams has attracted considerable interest due to the increasing usage of evolving...

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書誌詳細

出版年:	IEEE Access
主要な著者:	Mustafa Tareq, Elankovan A Sundararajan, Aaron Harwood, Azuraliza Abu Bakar
フォーマット:	論文
言語:	英語
出版事項:	IEEE 2022-01-01
主題:	Clustering data stream grid-based clustering data stream clustering density-based clustering
オンライン･アクセス:	https://ieeexplore.ieee.org/document/9646912/