63 search results - page 2 / 13 » Privacy-preserving imputation of missing data |
RSCTC
2004
Springer
13 years 11 months ago
2004
Springer
In this paper, we present a missing data imputation method based on one of the most popular techniques in Knowledge Discovery in Databases (KDD), i.e. clustering technique. We comb...
WCE
2007
13 years 7 months ago
2007
— Imputation of missing data is important in many areas, such as reducing non-response bias in surveys and maintaining medical documentation. Estimating the uncertainty inherent ...
ISDA
2008
IEEE
14 years 20 days ago
2008
IEEE
Privacy Preserving Data Mining (PPDM) has become a popular topic in the research community. How to strike a balance between privacy protection and knowledge discovery in the shari...
BMCBI
2008
13 years 6 months ago
2008
Background: It is an important pre-processing step to accurately estimate missing values in microarray data, because complete datasets are required in numerous expression profile ...
BMCBI
2008
13 years 6 months ago
2008
Background: Missing values frequently pose problems in gene expression microarray experiments as they can hinder downstream analysis of the datasets. While several missing value i...