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» Privacy-preserving imputation of missing data
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ICDM
2006
IEEE
169views Data Mining» more  ICDM 2006»
13 years 11 months ago
Privacy-Preserving Data Imputation
In this paper, we investigate privacy-preserving data imputation on distributed databases. We present a privacypreserving protocol for filling in missing values using a lazy deci...
Geetha Jagannathan, Rebecca N. Wright
BMCBI
2006
103views more  BMCBI 2006»
13 years 4 months ago
Improving missing value imputation of microarray data by using spot quality weights
Background: Microarray technology has become popular for gene expression profiling, and many analysis tools have been developed for data interpretation. Most of these tools requir...
Peter Johansson, Jari Häkkinen
ICA
2012
Springer
12 years 13 days ago
Audio Imputation Using the Non-negative Hidden Markov Model
Abstract. Missing data in corrupted audio recordings poses a challenging problem for audio signal processing. In this paper we present an approach that allows us to estimate missin...
Jinyu Han, Gautham J. Mysore, Bryan Pardo
DAWAK
2009
Springer
13 years 11 months ago
Dynamic Clustering-Based Estimation of Missing Values in Mixed Type Data
The appropriate choice of a method for imputation of missing data becomes especially important when the fraction of missing values is large and the data are of mixed type. The prop...
Vadim V. Ayuyev, Joseph Jupin, Philip W. Harris, Z...
AAAI
2007
13 years 7 months ago
Cost-Sensitive Imputing Missing Values with Ordering
Various approaches for dealing with missing data have been developed so far. In this paper, two strategies are proposed for cost-sensitive iterative imputing missing values with o...
Xiaofeng Zhu, Shichao Zhang, Jilian Zhang, Chengqi...