5733 search results - page 287 / 1147 » Clustering Categorical Data |
194
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CCGRID
2008
IEEE
16 years 1 months ago
2008
IEEE
Scientific workflows play an important role in today’s science. Many disciplines rely on workflow technologies to orchestrate the execution of thousands of computational tasks. ...
196
Voted
ICDM
2009
IEEE
16 years 2 months ago
2009
IEEE
Sales prediction is a complex task because of large number of factors affecting the demand. We present a context aware sales prediction approach, which selects the base predictor ...
210
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ISIPTA
2003
IEEE
16 years 23 days ago
2003
IEEE
We consider the statistical problem of analyzing the association between two categorical variables from cross-classified data. The focus is put on measures which enable one to st...
224
Voted
KDD
1998
ACM
15 years 11 months ago
1998
ACM
Learning to predict rare events from sequences of events with categorical features is an important, real-world, problem that existing statistical and machine learning methods are ...
174
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AAAI
2007
15 years 9 months ago
2007
The discovery of meaningful change points, finding segments, in both categorical and real-value data time series is a well-studied problem. Prior segmentation algorithms and task...