1009 search results - page 49 / 202 » Using Data Mining to Estimate Missing Sensor Data |
156
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SDM
2010
SIAM
15 years 7 months ago
2010
SIAM
In recent years, matrix approximation for missing value prediction has emerged as an important problem in a variety of domains such as recommendation systems, e-commerce and onlin...
272
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SIGMOD
2009
ACM
16 years 6 months ago
2009
ACM
We consider the problem of collectively approximating a set of sensor signals using the least amount of space so that any individual signal can be efficiently reconstructed within...
276
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IJCNN
2006
IEEE
16 years 22 hour ago
2006
IEEE
- Gene regulatory networks allow us to study and understand genes’ roles in biological processes. Among others, regulatory networks help to identify pathway initiator genes and t...
179
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ICDM
2008
IEEE
16 years 13 days ago
2008
IEEE
In recent years, co-clustering has emerged as a powerful data mining tool that can analyze dyadic data connecting two entities. However, almost all existing co-clustering techniqu...
162
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AAAI
2007
15 years 8 months ago
2007
The problem of locating motifs in real-valued, multivariate time series data involves the discovery of sets of recurring patterns embedded in the time series. Each set is composed...