425 search results - page 41 / 85 » Mining high-speed data streams |
136
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ICDM
2007
IEEE
15 years 8 months ago
2007
IEEE
Data streams are often locally correlated, with a subset of streams exhibiting coherent patterns over a subset of time points. Subspace clustering can discover clusters of objects...
105
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CIKM
2006
Springer
15 years 5 months ago
2006
Springer
A fundamental building block of many data mining and analysis approaches is density estimation as it provides a comprehensive statistical model of a data distribution. For that re...
131
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DAWAK
2004
Springer
15 years 7 months ago
2004
Springer
Clustering is a difficult problem especially when we consider the task in the context of a data stream of categorical attributes. In this paper, we propose SCLOPE, a novel algorith...
113
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ICDM
2009
IEEE
15 years 8 months ago
2009
IEEE
—Mining temporal network models from discrete event streams is an important problem with applications in computational neuroscience, physical plant diagnostics, and human-compute...
101
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CIKM
2004
Springer
15 years 7 months ago
2004
Springer
Mining massive temporal data streams for significant trends, emerging buzz, and unusually high or low activity is an important problem with several commercial applications. In th...