On Density-Based Data Streams Clustering Algorithms： A Survey

Clustering data streams has drawn lots of attention in the last few years due to their ever-growing presence. Data streams put additional challenges on clustering such as limited time and memory and one pass clustering. Furthermore, discovering clusters with arbitrary shapes is very important in dat...

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Veröffentlicht in:	Journal of computer science and technology Jg. 29; H. 1; S. 116 - 141
Hauptverfasser:	Amini, Amineh, Wah, Teh Ying, Saboohi, Hadi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Boston Springer US 2014 Springer Nature B.V
Schlagworte:	Algorithms Analysis Artificial Intelligence Cluster analysis Clustering Computer Science data Data processing Data Structures and Information Theory Data transmission Datasets Density density-based grid-based Information Systems Applications (incl.Internet) Knowledge micro-clustering micro-clusteringdata Noise Regular Paper Social networks Social research Software Engineering stream Studies Theory of Computation density-based clustering data stream micro-clustering grid-based clustering
ISSN:	1000-9000, 1860-4749
Online-Zugang:	Volltext
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