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» On the Design and Quantification of Privacy Preserving Data ...
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KDD
2008
ACM
134views Data Mining» more  KDD 2008»
14 years 7 months ago
Privacy-preserving cox regression for survival analysis
Privacy-preserving data mining (PPDM) is an emergent research area that addresses the incorporation of privacy preserving concerns to data mining techniques. In this paper we prop...
Shipeng Yu, Glenn Fung, Rómer Rosales, Srir...
SDM
2009
SIAM
113views Data Mining» more  SDM 2009»
14 years 4 months ago
Graph Generation with Prescribed Feature Constraints.
In this paper, we study the problem of how to generate synthetic graphs matching various properties of a real social network with two applications, privacy preserving social netwo...
Xiaowei Ying, Xintao Wu
ICDE
2007
IEEE
162views Database» more  ICDE 2007»
14 years 8 months ago
On Density Based Transforms for Uncertain Data Mining
In spite of the great progress in the data mining field in recent years, the problem of missing and uncertain data has remained a great challenge for data mining algorithms. Many ...
Charu C. Aggarwal
ICDM
2009
IEEE
130views Data Mining» more  ICDM 2009»
13 years 4 months ago
Efficient Anonymizations with Enhanced Utility
The k-anonymization method is a commonly used privacy-preserving technique. Previous studies used various measures of utility that aim at enhancing the correlation between the orig...
Jacob Goldberger, Tamir Tassa
ISCI
2007
99views more  ISCI 2007»
13 years 7 months ago
Privacy-preserving algorithms for distributed mining of frequent itemsets
Standard algorithms for association rule mining are based on identification of frequent itemsets. In this paper, we study how to maintain privacy in distributed mining of frequen...
Sheng Zhong