2757 search results - page 31 / 552 » Deplump for Streaming Data |
106
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APWEB
2006
Springer
15 years 1 months ago
2006
Springer
Clustering is to identify densely populated subgroups in data, while correlation analysis is to find the dependency between the attributes of the data set. In this paper, we combin...
DAWAK
2008
Springer
14 years 11 months ago
2008
Springer
The problem of discovering episode rules from static databases has been studied for years due to its wide applications in prediction. In this paper, we make the first attempt to st...
102
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INFORMATICALT
2008
14 years 9 months ago
2008
Abstract. Data stream mining has become a novel research topic of growing interest in knowledge discovery. Most proposed algorithms for data stream mining assume that each data blo...
82
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CIKM
2009
Springer
15 years 4 months ago
2009
Springer
Mining frequent itemsets in data streams is beneficial to many real-world applications but is also a challenging task since data streams are unbounded and have high arrival rates...
HPDC
2005
IEEE
15 years 3 months ago
2005
IEEE
Applications that use parallel TCP streams to increase throughput must multiplex and demultiplex data blocks over a set of TCP streams transmitting on one or more network paths. W...