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Data stream clustering

In computer science, data stream clustering is defined as the clustering of data that arrive continuously such as telephone records, multimedia data… 
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Approximation algorithmCURE data clustering algorithmCategory utilityCluster analysis

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
An Improved Differential Evolution Algorithm for Data Stream Clustering
A Few algorithms were actualized by the analysts for performing clustering of data streams. Most of these algorithms require that… 
2014
2014
Change detection in categorical evolving data streams
Detecting change in evolving data streams is a central issue for accurate adaptive learning. In real world applications, data… 
2013
2013
Different Aspects of Data Stream Clustering
Nowadays the growth of the datasets size causes some difficulties to extract useful information and knowledge especially in… 
Highly Cited
2012
Highly Cited
2012
Density-Based Projected Clustering of Data Streams
In this paper, we have proposed, developed and experimentally validated our novel subspace data stream clustering, termed… 
2011
2011
Clustering data streams with weightless neural networks
Producing good quality clustering of data streams in real time is a difficult problem, since it is necessary to perform the… 
2010
2010
Clustering Performance on Evolving Data Streams: Assessing Algorithms and Evaluation Measures within MOA
In today's applications, evolving data streams are ubiquitous. Stream clustering algorithms were introduced to gain useful… 
2009
2009
Research and Implementation of Network Transmission Situation Awareness
In recent years, Network Situation Awareness mainly concentrates on the security field, but there’s no research on Network… 
2009
2009
Data stream clustering and modeling using context-trees
Many applications such as telecommunication and commercial video broadcasting streams, computer systems logs, and web clicks are… 
2009
2009
Feature-Based Data Stream Clustering
Data stream clustering has attracted a huge attention in recent years. Many one-pass and evolving algorithms have been developed… 
2007
2007
Clustering Geometric Data Streams
Using recent knowledge in data stream clustering we present a modified approach to the facility location problem in the context… 
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