1009 search results - page 7 / 202 » Using Data Mining to Estimate Missing Sensor Data |
KDD
2007
ACM
15 years 9 months ago
2007
ACM
In some applications such as filling in a customer information form on the web, some missing values may not be explicitly represented as such, but instead appear as potentially va...
GI
2009
Springer
14 years 7 months ago
2009
Springer
Abstract: GPS technology has made it possible to evaluate the performance of outdoor advertising campaigns in an objective manner. Given the GPS trajectories of a sample of test pe...
ICASSP
2008
IEEE
15 years 3 months ago
2008
IEEE
Missing data techniques have been recently applied to speaker recognition to increase performance in noisy environments. The drawback of these techniques is the vulnerability of t...
ICDM
2008
IEEE
15 years 3 months ago
2008
IEEE
Many data sets are incomplete. For correct analysis of such data, one can either use algorithms that are designed to handle missing data or use imputation. Imputation has the bene...
RSFDGRC
1999
Springer
15 years 1 months ago
1999
Springer
: In real-life data, in general, many attribute values are missing. Therefore, rule induction requires preprocessing, where missing attribute values are replaced by appropriate val...