72 search results - page 10 / 15 » Imputation of missing values for compositional data using cl... |
ICCS
2005
Springer
14 years 27 days ago
2005
Springer
Existing methods for time series clustering rely on the actual data values can become impractical since the methods do not easily handle dataset with high dimensionality, missing v...
EUSFLAT
2007
13 years 8 months ago
2007
Industrial databases often contain a large amount of unfilled information. During the knowledge discovery process one processing step is often necessary in order to remove these ...
KDD
2010
ACM
13 years 11 months ago
2010
ACM
Stroke is the third leading cause of death and the principal cause of serious long-term disability in the United States. Accurate prediction of stroke is highly valuable for early...
PKDD
2001
Springer
13 years 11 months ago
2001
Springer
The biological sciences are undergoing an explosion in the amount of available data. New data analysis methods are needed to deal with the data. We present work using KDD to analys...
CVPR
2011
IEEE
13 years 2 months ago
2011
IEEE
We consider the problem of fitting one or more subspaces to a collection of data points drawn from the subspaces and corrupted by noise/outliers. We pose this problem as a rank m...