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

2003-2017
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Papers overview

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2015
2015
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
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 provides insights into the underlying patterns of data flows. This paper focuses on selecting the best… (More)
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2014
2014
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
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
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
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
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
  • 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
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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