1009 search results - page 21 / 202 » Using Data Mining to Estimate Missing Sensor Data |
FLAIRS
2007
14 years 11 months ago
2007
The desire to predict power generation at a given point in time is essential to power scheduling, energy trading, and availability modeling. The research conducted within is conce...
CDC
2009
IEEE
14 years 10 months ago
2009
IEEE
We present a method for assimilating Lagrangian sensor measurement data into a Shallow Water Equation model. Using our method, the variational data assimilation problem is formulat...
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IIS
2004
14 years 10 months ago
2004
Estimating the result size of a join is an important query optimization problem as it determines the choice of a good query evaluation strategy. Yet, there are few efficient techni...
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
A logistic regression classification algorithm is developed for problems in which the feature vectors may be missing data (features). Single or multiple imputation for the missing...
ICDM
2005
IEEE
15 years 3 months ago
2005
IEEE
In many classification tasks training data have missing feature values that can be acquired at a cost. For building accurate predictive models, acquiring all missing values is of...