SKDStream: a dynamic clustering algorithm on time-decaying data stream

SKDStream: a dynamic clustering algorithm on time-decaying data stream

Abstract Data stream is a type of data that continue to grow over time. For example, network security data stream will constantly be generated in the field of data security, and encrypted data stream will be generated in the privacy protection scenario. Clustering is a basic task in the analysis of...

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Bibliographic Details
Main Authors: Hui Liu, Aihua Wu, Mingkang Wei, Chin-Chen Chang
Format: Article
Language:English
Published: SpringerOpen 2022-10-01
Series:EURASIP Journal on Wireless Communications and Networking
Subjects:
Data mining algorithm
Density-based clustering
Decaying stream
High density subspace
Online Access:https://doi.org/10.1186/s13638-022-02160-0

Internet

https://doi.org/10.1186/s13638-022-02160-0

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