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» Privacy-Preserving Data Imputation
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BMCBI
2004
64views more  BMCBI 2004»
13 years 7 months ago
Reuse of imputed data in microarray analysis increases imputation efficiency
Ki-Yeol Kim, Byoung-Jin Kim, Gwan-Su Yi
JSS
2007
118views more  JSS 2007»
13 years 7 months ago
A new imputation method for small software project data sets
Effort prediction is a very important issue for software project management. Historical project data sets are frequently used to support such prediction. But missing data are oft...
Qinbao Song, Martin J. Shepperd
ICDE
2006
IEEE
176views Database» more  ICDE 2006»
14 years 1 months ago
Deriving Private Information from Perturbed Data Using IQR Based Approach
Several randomized techniques have been proposed for privacy preserving data mining of continuous data. These approaches generally attempt to hide the sensitive data by randomly m...
Songtao Guo, Xintao Wu, Yingjiu Li
KDD
2007
ACM
121views Data Mining» more  KDD 2007»
14 years 8 months ago
Preserving the Privacy of Sensitive Relationships in Graph Data
Abstract. In this paper, we focus on the problem of preserving the privacy of sensitive relationships in graph data. We refer to the problem of inferring sensitive relationships fr...
Elena Zheleva, Lise Getoor
RSCTC
2004
Springer
148views Fuzzy Logic» more  RSCTC 2004»
14 years 27 days ago
Towards Missing Data Imputation: A Study of Fuzzy K-means Clustering Method
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...
Dan Li, Jitender S. Deogun, William Spaulding, Bil...