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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… (More)
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Topic mentions per year

Topic mentions per year

2003-2017
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Related topics

Related topics

10 relations
Approximation algorithmCategory utilityCluster analysisCobweb
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Related mentions per year

Related mentions per year

1936-2018
19401960198020002020
Data stream clustering
Approximation algorithm
Computer science
Cluster analysis
Local search
K-means clustering

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
An Adaptive Density Data Stream Clustering Algorithm
Now we are in the age of big data. Huge amount of data and information are generated every time. Traditional data stream… (More)
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Highly Cited
2014
Highly Cited
2014
Twitter spammer detection using data stream clustering
The rapid growth of Twitter has triggered a dramatic increase in spam volume and sophistication. The abuse of certain Twitter… (More)
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2014
2014
Data Stream Clustering With Affinity Propagation
Data stream clustering provides insights into the underlying patterns of data flows. This paper focuses on selecting the best… (More)
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2014
2014
High-Throughput, Web-Scale Data Stream Clustering
Clustering is an important technique for analysing and interpreting massive quantities of data present on the web. However the… (More)
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Review
2013
Review
2013
Research on data stream clustering algorithms
Data stream is a potentially massive, continuous, rapid sequence of data information. It has aroused great concern and research… (More)
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2013
2013
Density Based Distribute Data Stream Clustering Algorithm
To solve the problem of distributed data streams clustering, the algorithm DB-DDSC (Density-Based Distribute Data Stream… (More)
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Highly Cited
2007
Highly Cited
2007
Density-based clustering for real-time stream data
Existing data-stream clustering algorithms such as CluStream arebased on <i>k</i>-means. These clustering algorithms are… (More)
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Highly Cited
2004
Highly Cited
2004
A Framework for Projected Clustering of High Dimensional Data Streams
The data stream problem has been studied extensively in recent years, because of the great ease in collection of stream data. The… (More)
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Highly Cited
2004
Highly Cited
2004
Highly Efficient Incremental Estimation of Gaussian Mixture Models for Online Data Stream Clustering
  • Mingzhou Songa, Hongbin Wangb
  • 2004
We present a probability-density-based data stream clustering approach which requires only the newly arrived data, not the entire… (More)
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Highly Cited
2003
Highly Cited
2003
A Framework for Clustering Evolving Data Streams
The clustering problem is a difficult problem for the data stream domain. This is because the large volumes of data arriving in a… (More)
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