5046 search results - page 314 / 1010 » Non-redundant data clustering |
183
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BMCBI
2005
15 years 6 months ago
2005
Background: The most common method of identifying groups of functionally related genes in microarray data is to apply a clustering algorithm. However, it is impossible to determin...
194
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SOSP
2009
ACM
16 years 3 months ago
2009
ACM
This paper addresses the problem of scheduling concurrent jobs on clusters where application data is stored on the computing nodes. This setting, in which scheduling computations ...
179
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HIS
2001
15 years 8 months ago
2001
To successfully prepare and model data, the data miner needs to be aware of the properties of the data manifold. In this chapter, the outline of a tool for automatically generating...
187
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ISMIS
2009
Springer
16 years 1 months ago
2009
Springer
Abstract. Novelty detection in data stream mining denotes the identification of new or unknown situations in a stream of data elements flowing continuously in at rapid rate. This...
185
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IJCAI
2007
15 years 8 months ago
2007
The martingale framework for detecting changes in data stream, currently only applicable to labeled data, is extended here to unlabeled data using clustering concept. The one-pass...