425 search results - page 24 / 85 » Mining high-speed data streams |
127
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AMW
2010
15 years 3 months ago
2010
Discovering the patterns in evolving data streams is a very important and challenging task. In many applications, it is useful to detect the dierent patterns evolving over time and...
101
Voted
BTW
2005
Springer
15 years 7 months ago
2005
Springer
Abstract: An effective processing and analysis of data streams is of utmost importance for a plethora of emerging applications like network monitoring, traffic management, and fi...
ICDM
2006
IEEE
15 years 8 months ago
2006
IEEE
Tools for automatically clustering streaming data are becoming increasingly important as data acquisition technology continues to advance. In this paper we present an extension of...
137
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WSDM
2009
ACM
15 years 8 months ago
2009
ACM
Text streams are becoming more and more ubiquitous, in the forms of news feeds, weblog archives and so on, which result in a large volume of data. An effective way to explore the...
137
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SBACPAD
2003
IEEE
15 years 7 months ago
2003
IEEE
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...